Overview

Dataset statistics

Number of variables26
Number of observations57521
Missing cells0
Missing cells (%)0.0%
Duplicate rows8
Duplicate rows (%)< 0.1%
Total size in memory13.9 MiB
Average record size in memory252.7 B

Variable types

Text8
DateTime1
Categorical9
Numeric8

Alerts

Start Date has constant value ""Constant
Dataset has 8 (< 0.1%) duplicate rowsDuplicates
Education is highly overall correlated with Experience_encodedHigh correlation
Education_Encoded is highly overall correlated with Experience_encodedHigh correlation
Experience is highly overall correlated with Experience_encodedHigh correlation
Experience_encoded is highly overall correlated with Education and 2 other fieldsHigh correlation
Work_hours is highly overall correlated with Work_hours_measureHigh correlation
Work_hours_measure is highly overall correlated with Work_hoursHigh correlation
Employment Type is highly imbalanced (53.4%)Imbalance
Languages is highly imbalanced (83.6%)Imbalance
Work_hours_measure is highly imbalanced (95.6%)Imbalance
Salary_measure is highly imbalanced (77.0%)Imbalance
Vacancies is highly skewed (γ1 = 21.67653106)Skewed
Work_hours is highly skewed (γ1 = 31.85633126)Skewed
Derived_Monthly_Salary is highly skewed (γ1 = 46.05960324)Skewed
Experience_encoded has 17549 (30.5%) zerosZeros

Reproduction

Analysis started2024-04-16 23:08:09.781410
Analysis finished2024-04-16 23:09:59.632055
Duration1 minute and 49.85 seconds
Software versionydata-profiling vv4.6.4
Download configurationconfig.json

Variables

Title
Text

Distinct6354
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Memory size2.9 MiB
2024-04-16T19:10:00.540450image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length124
Median length98
Mean length20.680378
Min length4

Characters and Unicode

Total characters1189556
Distinct characters82
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2916 ?
Unique (%)5.1%

Sample

1st rowcabinetmaker
2nd rowrestoration carpenter
3rd rowpainter
4th rowstore manager - retail
5th rowadministrative assistant
ValueCountFrequency (%)
supervisor 6386
 
4.3%
food 5384
 
3.6%
5179
 
3.5%
assistant 4324
 
2.9%
service 4140
 
2.8%
manager 3547
 
2.4%
cook 3526
 
2.4%
administrative 2982
 
2.0%
helper 2485
 
1.7%
retail 2302
 
1.5%
Other values (2784) 108636
73.0%
2024-04-16T19:10:02.068365image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 131085
11.0%
r 108951
 
9.2%
a 92389
 
7.8%
91469
 
7.7%
i 90804
 
7.6%
t 84597
 
7.1%
s 78541
 
6.6%
o 78065
 
6.6%
n 73533
 
6.2%
c 61800
 
5.2%
Other values (72) 298322
25.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1076564
90.5%
Space Separator 91473
 
7.7%
Dash Punctuation 6738
 
0.6%
Other Punctuation 5876
 
0.5%
Uppercase Letter 5489
 
0.5%
Close Punctuation 1659
 
0.1%
Open Punctuation 1659
 
0.1%
Decimal Number 98
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 131085
12.2%
r 108951
10.1%
a 92389
 
8.6%
i 90804
 
8.4%
t 84597
 
7.9%
s 78541
 
7.3%
o 78065
 
7.3%
n 73533
 
6.8%
c 61800
 
5.7%
l 37248
 
3.5%
Other values (20) 239551
22.3%
Uppercase Letter
ValueCountFrequency (%)
E 1093
19.9%
C 1005
18.3%
N 409
 
7.5%
R 388
 
7.1%
T 352
 
6.4%
A 281
 
5.1%
P 233
 
4.2%
W 212
 
3.9%
O 198
 
3.6%
I 190
 
3.5%
Other values (15) 1128
20.6%
Other Punctuation
ValueCountFrequency (%)
, 4516
76.9%
. 616
 
10.5%
/ 523
 
8.9%
' 177
 
3.0%
" 14
 
0.2%
& 10
 
0.2%
# 9
 
0.2%
: 6
 
0.1%
! 3
 
0.1%
* 2
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 23
23.5%
0 15
15.3%
2 15
15.3%
3 15
15.3%
4 6
 
6.1%
5 6
 
6.1%
6 6
 
6.1%
8 5
 
5.1%
9 4
 
4.1%
7 3
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 6685
99.2%
– 49
 
0.7%
— 4
 
0.1%
Space Separator
ValueCountFrequency (%)
91469
> 99.9%
  4
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 1659
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1659
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1082053
91.0%
Common 107503
 
9.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 131085
12.1%
r 108951
10.1%
a 92389
 
8.5%
i 90804
 
8.4%
t 84597
 
7.8%
s 78541
 
7.3%
o 78065
 
7.2%
n 73533
 
6.8%
c 61800
 
5.7%
l 37248
 
3.4%
Other values (45) 245040
22.6%
Common
ValueCountFrequency (%)
91469
85.1%
- 6685
 
6.2%
, 4516
 
4.2%
) 1659
 
1.5%
( 1659
 
1.5%
. 616
 
0.6%
/ 523
 
0.5%
' 177
 
0.2%
– 49
 
< 0.1%
1 23
 
< 0.1%
Other values (17) 127
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1189450
> 99.9%
Punctuation 53
 
< 0.1%
None 53
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 131085
11.0%
r 108951
 
9.2%
a 92389
 
7.8%
91469
 
7.7%
i 90804
 
7.6%
t 84597
 
7.1%
s 78541
 
6.6%
o 78065
 
6.6%
n 73533
 
6.2%
c 61800
 
5.2%
Other values (65) 298216
25.1%
Punctuation
ValueCountFrequency (%)
– 49
92.5%
— 4
 
7.5%
None
ValueCountFrequency (%)
é 44
83.0%
  4
 
7.5%
â 3
 
5.7%
ô 1
 
1.9%
î 1
 
1.9%
Distinct117
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size2.9 MiB
Minimum2023-11-30 00:00:00
Maximum2024-03-31 00:00:00
2024-04-16T19:10:02.591047image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2024-04-16T19:10:03.103841image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct33158
Distinct (%)57.6%
Missing0
Missing (%)0.0%
Memory size2.9 MiB
2024-04-16T19:10:04.071821image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length156
Median length106
Mean length23.466682
Min length2

Characters and Unicode

Total characters1349827
Distinct characters121
Distinct categories14 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23530 ?
Unique (%)40.9%

Sample

1st rowSympro Mfg Inc.
2nd rowSupra Restoration Services LTD
3rd rowMajestic Renovations
4th rowprofessional book fairs
5th rowURBAN DECOR FURNISHINGS
ValueCountFrequency (%)
inc 14003
 
6.8%
ltd 12413
 
6.1%
4722
 
2.3%
de 3749
 
1.8%
services 2728
 
1.3%
canada 1962
 
1.0%
and 1916
 
0.9%
centre 1566
 
0.8%
alberta 1471
 
0.7%
la 1349
 
0.7%
Other values (27293) 158555
77.6%
2024-04-16T19:10:05.694991image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
148305
 
11.0%
e 81403
 
6.0%
a 72468
 
5.4%
n 68469
 
5.1%
i 61495
 
4.6%
t 60984
 
4.5%
r 58089
 
4.3%
o 55310
 
4.1%
s 43778
 
3.2%
I 34702
 
2.6%
Other values (111) 664824
49.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 731205
54.2%
Uppercase Letter 396121
29.3%
Space Separator 148323
 
11.0%
Decimal Number 37857
 
2.8%
Other Punctuation 29113
 
2.2%
Dash Punctuation 5091
 
0.4%
Open Punctuation 913
 
0.1%
Close Punctuation 911
 
0.1%
Math Symbol 164
 
< 0.1%
Final Punctuation 113
 
< 0.1%
Other values (4) 16
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 81403
11.1%
a 72468
9.9%
n 68469
9.4%
i 61495
 
8.4%
t 60984
 
8.3%
r 58089
 
7.9%
o 55310
 
7.6%
s 43778
 
6.0%
l 34085
 
4.7%
c 32737
 
4.5%
Other values (34) 162387
22.2%
Uppercase Letter
ValueCountFrequency (%)
I 34702
 
8.8%
C 33543
 
8.5%
S 31401
 
7.9%
E 30221
 
7.6%
A 28818
 
7.3%
L 28446
 
7.2%
T 27425
 
6.9%
N 23800
 
6.0%
R 23240
 
5.9%
D 16861
 
4.3%
Other values (25) 117664
29.7%
Other Punctuation
ValueCountFrequency (%)
. 20669
71.0%
& 3902
 
13.4%
' 2853
 
9.8%
/ 780
 
2.7%
, 607
 
2.1%
# 103
 
0.4%
? 103
 
0.4%
! 30
 
0.1%
; 19
 
0.1%
: 19
 
0.1%
Other values (4) 28
 
0.1%
Decimal Number
ValueCountFrequency (%)
1 5668
15.0%
2 5309
14.0%
0 4591
12.1%
9 3629
9.6%
3 3516
9.3%
4 3165
8.4%
5 3103
8.2%
6 3024
8.0%
8 2986
7.9%
7 2866
7.6%
Dash Punctuation
ValueCountFrequency (%)
- 5089
> 99.9%
– 1
 
< 0.1%
— 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
+ 109
66.5%
| 53
32.3%
> 2
 
1.2%
Space Separator
ValueCountFrequency (%)
148305
> 99.9%
  18
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 912
99.9%
[ 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 910
99.9%
] 1
 
0.1%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
50.0%
“ 1
50.0%
Final Punctuation
ValueCountFrequency (%)
’ 113
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 10
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 3
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1127326
83.5%
Common 222501
 
16.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 81403
 
7.2%
a 72468
 
6.4%
n 68469
 
6.1%
i 61495
 
5.5%
t 60984
 
5.4%
r 58089
 
5.2%
o 55310
 
4.9%
s 43778
 
3.9%
I 34702
 
3.1%
l 34085
 
3.0%
Other values (69) 556543
49.4%
Common
ValueCountFrequency (%)
148305
66.7%
. 20669
 
9.3%
1 5668
 
2.5%
2 5309
 
2.4%
- 5089
 
2.3%
0 4591
 
2.1%
& 3902
 
1.8%
9 3629
 
1.6%
3 3516
 
1.6%
4 3165
 
1.4%
Other values (32) 18658
 
8.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1344262
99.6%
None 5448
 
0.4%
Punctuation 117
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
148305
 
11.0%
e 81403
 
6.1%
a 72468
 
5.4%
n 68469
 
5.1%
i 61495
 
4.6%
t 60984
 
4.5%
r 58089
 
4.3%
o 55310
 
4.1%
s 43778
 
3.3%
I 34702
 
2.6%
Other values (77) 659259
49.0%
None
ValueCountFrequency (%)
é 3103
57.0%
É 1444
26.5%
è 459
 
8.4%
ô 106
 
1.9%
ê 83
 
1.5%
ÃŽ 58
 
1.1%
È 48
 
0.9%
à 21
 
0.4%
Ê 19
 
0.3%
  18
 
0.3%
Other values (19) 89
 
1.6%
Punctuation
ValueCountFrequency (%)
’ 113
96.6%
– 1
 
0.9%
‘ 1
 
0.9%
“ 1
 
0.9%
— 1
 
0.9%
Distinct2715
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size2.9 MiB
2024-04-16T19:10:06.636258image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length62
Median length53
Mean length13.018793
Min length7

Characters and Unicode

Total characters748854
Distinct characters81
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique923 ?
Unique (%)1.6%

Sample

1st rowMississauga, ON
2nd rowBradford, ON
3rd rowBradford, ON
4th rowToronto, ON
5th rowBrampton, ON
ValueCountFrequency (%)
on 14849
 
12.0%
ab 11718
 
9.5%
bc 10988
 
8.9%
qc 10791
 
8.7%
edmonton 4045
 
3.3%
calgary 3489
 
2.8%
surrey 2598
 
2.1%
sk 2437
 
2.0%
mb 2382
 
1.9%
vancouver 1718
 
1.4%
Other values (2807) 58966
47.6%
2024-04-16T19:10:08.119836image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
66464
 
8.9%
, 57868
 
7.7%
a 46173
 
6.2%
o 44756
 
6.0%
r 40546
 
5.4%
n 40422
 
5.4%
e 37073
 
5.0%
B 31528
 
4.2%
i 30489
 
4.1%
t 29801
 
4.0%
Other values (71) 323734
43.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 429124
57.3%
Uppercase Letter 186795
24.9%
Space Separator 66464
 
8.9%
Other Punctuation 59491
 
7.9%
Dash Punctuation 6319
 
0.8%
Decimal Number 661
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 46173
10.8%
o 44756
10.4%
r 40546
 
9.4%
n 40422
 
9.4%
e 37073
 
8.6%
i 30489
 
7.1%
t 29801
 
6.9%
l 21537
 
5.0%
s 18171
 
4.2%
u 16727
 
3.9%
Other values (25) 103429
24.1%
Uppercase Letter
ValueCountFrequency (%)
B 31528
16.9%
C 29132
15.6%
N 21129
11.3%
O 16408
8.8%
S 13973
7.5%
A 13935
7.5%
Q 11997
 
6.4%
M 8538
 
4.6%
E 5431
 
2.9%
L 4695
 
2.5%
Other values (18) 30029
16.1%
Decimal Number
ValueCountFrequency (%)
1 126
19.1%
0 94
14.2%
2 78
11.8%
4 72
10.9%
3 63
9.5%
5 59
8.9%
9 45
 
6.8%
7 45
 
6.8%
6 42
 
6.4%
8 37
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 57868
97.3%
. 869
 
1.5%
' 747
 
1.3%
& 3
 
< 0.1%
/ 2
 
< 0.1%
# 2
 
< 0.1%
Space Separator
ValueCountFrequency (%)
66464
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6319
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 615919
82.2%
Common 132935
 
17.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 46173
 
7.5%
o 44756
 
7.3%
r 40546
 
6.6%
n 40422
 
6.6%
e 37073
 
6.0%
B 31528
 
5.1%
i 30489
 
5.0%
t 29801
 
4.8%
C 29132
 
4.7%
l 21537
 
3.5%
Other values (53) 264462
42.9%
Common
ValueCountFrequency (%)
66464
50.0%
, 57868
43.5%
- 6319
 
4.8%
. 869
 
0.7%
' 747
 
0.6%
1 126
 
0.1%
0 94
 
0.1%
2 78
 
0.1%
4 72
 
0.1%
3 63
 
< 0.1%
Other values (8) 235
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 745044
99.5%
None 3810
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
66464
 
8.9%
, 57868
 
7.8%
a 46173
 
6.2%
o 44756
 
6.0%
r 40546
 
5.4%
n 40422
 
5.4%
e 37073
 
5.0%
B 31528
 
4.2%
i 30489
 
4.1%
t 29801
 
4.0%
Other values (60) 319924
42.9%
None
ValueCountFrequency (%)
é 3056
80.2%
è 472
 
12.4%
ô 82
 
2.2%
ÃŽ 81
 
2.1%
â 42
 
1.1%
É 37
 
1.0%
ç 13
 
0.3%
ê 12
 
0.3%
à 8
 
0.2%
î 4
 
0.1%

Salary
Text

Distinct4012
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size2.9 MiB
2024-04-16T19:10:09.328699image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length18
Median length10
Mean length10.142278
Min length7

Characters and Unicode

Total characters583394
Distinct characters29
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2021 ?
Unique (%)3.5%

Sample

1st row27.00 HOUR
2nd row30.00 HOUR
3rd row30.00 HOUR
4th row44.00 HOUR
5th row25.50 HOUR
ValueCountFrequency (%)
hour 51277
44.6%
year 5294
 
4.6%
18.00 3234
 
2.8%
20.00 2971
 
2.6%
17.00 2704
 
2.4%
25.00 2008
 
1.7%
19.00 1451
 
1.3%
22.00 1400
 
1.2%
15.00 1311
 
1.1%
27.00 1310
 
1.1%
Other values (3848) 42082
36.6%
2024-04-16T19:10:10.941404image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 88982
15.3%
57521
9.9%
R 56571
9.7%
. 51995
8.9%
H 51438
8.8%
O 51438
8.8%
U 51277
8.8%
2 31485
 
5.4%
5 26921
 
4.6%
1 26071
 
4.5%
Other values (19) 89695
15.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 236264
40.5%
Uppercase Letter 232028
39.8%
Other Punctuation 57581
 
9.9%
Space Separator 57521
 
9.9%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
R 56571
24.4%
H 51438
22.2%
O 51438
22.2%
U 51277
22.1%
E 6702
 
2.9%
Y 6083
 
2.6%
A 5379
 
2.3%
W 704
 
0.3%
K 704
 
0.3%
L 704
 
0.3%
Other values (6) 1028
 
0.4%
Decimal Number
ValueCountFrequency (%)
0 88982
37.7%
2 31485
 
13.3%
5 26921
 
11.4%
1 26071
 
11.0%
7 13140
 
5.6%
8 12562
 
5.3%
3 11419
 
4.8%
6 10956
 
4.6%
4 8445
 
3.6%
9 6283
 
2.7%
Other Punctuation
ValueCountFrequency (%)
. 51995
90.3%
, 5586
 
9.7%
Space Separator
ValueCountFrequency (%)
57521
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 351366
60.2%
Latin 232028
39.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
R 56571
24.4%
H 51438
22.2%
O 51438
22.2%
U 51277
22.1%
E 6702
 
2.9%
Y 6083
 
2.6%
A 5379
 
2.3%
W 704
 
0.3%
K 704
 
0.3%
L 704
 
0.3%
Other values (6) 1028
 
0.4%
Common
ValueCountFrequency (%)
0 88982
25.3%
57521
16.4%
. 51995
14.8%
2 31485
 
9.0%
5 26921
 
7.7%
1 26071
 
7.4%
7 13140
 
3.7%
8 12562
 
3.6%
3 11419
 
3.2%
6 10956
 
3.1%
Other values (3) 20314
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 583394
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 88982
15.3%
57521
9.9%
R 56571
9.7%
. 51995
8.9%
H 51438
8.8%
O 51438
8.8%
U 51277
8.8%
2 31485
 
5.4%
5 26921
 
4.6%
1 26071
 
4.5%
Other values (19) 89695
15.4%

Employment Type
Categorical

IMBALANCE 

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.9 MiB
Permanent Full Time
45371 
Part Time
 
3693
Full time
 
3496
Term or contract
 
2289
Seasonal
 
1764

Length

Max length19
Median length19
Mean length17.198762
Min length8

Characters and Unicode

Total characters989290
Distinct characters20
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPermanent Full Time
2nd rowTerm or contract
3rd rowPermanent Full Time
4th rowPermanent Full Time
5th rowPermanent Full Time

Common Values

ValueCountFrequency (%)
Permanent Full Time 45371
78.9%
Part Time 3693
 
6.4%
Full time 3496
 
6.1%
Term or contract 2289
 
4.0%
Seasonal 1764
 
3.1%
Not available 908
 
1.6%

Length

2024-04-16T19:10:11.435113image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:10:11.914006image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
ValueCountFrequency (%)
time 52560
32.7%
full 48867
30.4%
permanent 45371
28.2%
part 3693
 
2.3%
term 2289
 
1.4%
or 2289
 
1.4%
contract 2289
 
1.4%
seasonal 1764
 
1.1%
not 908
 
0.6%
available 908
 
0.6%

Most occurring characters

ValueCountFrequency (%)
e 148263
15.0%
103417
10.5%
l 101314
10.2%
m 100220
10.1%
n 94795
9.6%
t 58046
 
5.9%
a 57605
 
5.8%
r 55931
 
5.7%
i 53468
 
5.4%
T 51353
 
5.2%
Other values (10) 164878
16.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 733917
74.2%
Uppercase Letter 151956
 
15.4%
Space Separator 103417
 
10.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 148263
20.2%
l 101314
13.8%
m 100220
13.7%
n 94795
12.9%
t 58046
 
7.9%
a 57605
 
7.8%
r 55931
 
7.6%
i 53468
 
7.3%
u 48867
 
6.7%
o 7250
 
1.0%
Other values (4) 8158
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
T 51353
33.8%
P 49064
32.3%
F 48867
32.2%
S 1764
 
1.2%
N 908
 
0.6%
Space Separator
ValueCountFrequency (%)
103417
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 885873
89.5%
Common 103417
 
10.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 148263
16.7%
l 101314
11.4%
m 100220
11.3%
n 94795
10.7%
t 58046
 
6.6%
a 57605
 
6.5%
r 55931
 
6.3%
i 53468
 
6.0%
T 51353
 
5.8%
P 49064
 
5.5%
Other values (9) 115814
13.1%
Common
ValueCountFrequency (%)
103417
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 989290
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 148263
15.0%
103417
10.5%
l 101314
10.2%
m 100220
10.1%
n 94795
9.6%
t 58046
 
5.9%
a 57605
 
5.8%
r 55931
 
5.7%
i 53468
 
5.4%
T 51353
 
5.2%
Other values (10) 164878
16.7%

Start Date
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.9 MiB
Starts as soon as possible
57521 

Length

Max length26
Median length26
Mean length26
Min length26

Characters and Unicode

Total characters1495546
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowStarts as soon as possible
2nd rowStarts as soon as possible
3rd rowStarts as soon as possible
4th rowStarts as soon as possible
5th rowStarts as soon as possible

Common Values

ValueCountFrequency (%)
Starts as soon as possible 57521
100.0%

Length

2024-04-16T19:10:12.339418image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:10:12.728837image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
ValueCountFrequency (%)
as 115042
40.0%
starts 57521
20.0%
soon 57521
20.0%
possible 57521
20.0%

Most occurring characters

ValueCountFrequency (%)
s 345126
23.1%
230084
15.4%
a 172563
11.5%
o 172563
11.5%
t 115042
 
7.7%
S 57521
 
3.8%
r 57521
 
3.8%
n 57521
 
3.8%
p 57521
 
3.8%
i 57521
 
3.8%
Other values (3) 172563
11.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1207941
80.8%
Space Separator 230084
 
15.4%
Uppercase Letter 57521
 
3.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 345126
28.6%
a 172563
14.3%
o 172563
14.3%
t 115042
 
9.5%
r 57521
 
4.8%
n 57521
 
4.8%
p 57521
 
4.8%
i 57521
 
4.8%
b 57521
 
4.8%
l 57521
 
4.8%
Space Separator
ValueCountFrequency (%)
230084
100.0%
Uppercase Letter
ValueCountFrequency (%)
S 57521
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1265462
84.6%
Common 230084
 
15.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
s 345126
27.3%
a 172563
13.6%
o 172563
13.6%
t 115042
 
9.1%
S 57521
 
4.5%
r 57521
 
4.5%
n 57521
 
4.5%
p 57521
 
4.5%
i 57521
 
4.5%
b 57521
 
4.5%
Other values (2) 115042
 
9.1%
Common
ValueCountFrequency (%)
230084
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1495546
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
s 345126
23.1%
230084
15.4%
a 172563
11.5%
o 172563
11.5%
t 115042
 
7.7%
S 57521
 
3.8%
r 57521
 
3.8%
n 57521
 
3.8%
p 57521
 
3.8%
i 57521
 
3.8%
Other values (3) 172563
11.5%

Vacancies
Real number (ℝ)

SKEWED 

Distinct49
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9760285
Minimum1
Maximum300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-04-16T19:10:13.133296image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum300
Range299
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.5647217
Coefficient of variation (CV)1.8039829
Kurtosis1079.7274
Mean1.9760285
Median Absolute Deviation (MAD)0
Skewness21.676531
Sum113663.14
Variance12.70724
MonotonicityNot monotonic
2024-04-16T19:10:13.610994image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
1 36428
63.3%
2 11668
 
20.3%
3 3089
 
5.4%
4 1763
 
3.1%
5 1464
 
2.5%
1.976028547 912
 
1.6%
10 677
 
1.2%
6 508
 
0.9%
8 216
 
0.4%
7 139
 
0.2%
Other values (39) 657
 
1.1%
ValueCountFrequency (%)
1 36428
63.3%
1.976028547 912
 
1.6%
2 11668
 
20.3%
3 3089
 
5.4%
4 1763
 
3.1%
5 1464
 
2.5%
6 508
 
0.9%
7 139
 
0.2%
8 216
 
0.4%
9 47
 
0.1%
ValueCountFrequency (%)
300 1
 
< 0.1%
100 12
< 0.1%
96 2
 
< 0.1%
90 1
 
< 0.1%
84 1
 
< 0.1%
80 4
 
< 0.1%
75 4
 
< 0.1%
72 1
 
< 0.1%
70 1
 
< 0.1%
60 23
< 0.1%

Languages
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.9 MiB
English
54949 
English or French
 
1196
French
 
1007
Bilingual
 
369

Length

Max length17
Median length7
Mean length7.2032475
Min length6

Characters and Unicode

Total characters414338
Distinct characters16
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowEnglish
2nd rowEnglish
3rd rowEnglish
4th rowEnglish
5th rowEnglish

Common Values

ValueCountFrequency (%)
English 54949
95.5%
English or French 1196
 
2.1%
French 1007
 
1.8%
Bilingual 369
 
0.6%

Length

2024-04-16T19:10:14.084461image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:10:14.516644image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
ValueCountFrequency (%)
english 56145
93.7%
french 2203
 
3.7%
or 1196
 
2.0%
bilingual 369
 
0.6%

Most occurring characters

ValueCountFrequency (%)
n 58717
14.2%
h 58348
14.1%
l 56883
13.7%
i 56883
13.7%
g 56514
13.6%
E 56145
13.6%
s 56145
13.6%
r 3399
 
0.8%
2392
 
0.6%
F 2203
 
0.5%
Other values (6) 6709
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 353229
85.3%
Uppercase Letter 58717
 
14.2%
Space Separator 2392
 
0.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 58717
16.6%
h 58348
16.5%
l 56883
16.1%
i 56883
16.1%
g 56514
16.0%
s 56145
15.9%
r 3399
 
1.0%
e 2203
 
0.6%
c 2203
 
0.6%
o 1196
 
0.3%
Other values (2) 738
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
E 56145
95.6%
F 2203
 
3.8%
B 369
 
0.6%
Space Separator
ValueCountFrequency (%)
2392
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 411946
99.4%
Common 2392
 
0.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 58717
14.3%
h 58348
14.2%
l 56883
13.8%
i 56883
13.8%
g 56514
13.7%
E 56145
13.6%
s 56145
13.6%
r 3399
 
0.8%
F 2203
 
0.5%
e 2203
 
0.5%
Other values (5) 4506
 
1.1%
Common
ValueCountFrequency (%)
2392
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 414338
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n 58717
14.2%
h 58348
14.1%
l 56883
13.7%
i 56883
13.7%
g 56514
13.6%
E 56145
13.6%
s 56145
13.6%
r 3399
 
0.8%
2392
 
0.6%
F 2203
 
0.5%
Other values (6) 6709
 
1.6%

Education
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.9 MiB
Secondary/School Level
21713 
Basic level of literacy
17541 
Diploma Degree
12612 
Bachelor Degree
2546 
CEGEP
2525 
Other values (4)
 
584

Length

Max length25
Median length23
Mean length19.459293
Min length5

Characters and Unicode

Total characters1119318
Distinct characters31
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSecondary/School Level
2nd rowSecondary/School Level
3rd rowDiploma Degree
4th rowDiploma Degree
5th rowSecondary/School Level

Common Values

ValueCountFrequency (%)
Secondary/School Level 21713
37.7%
Basic level of literacy 17541
30.5%
Diploma Degree 12612
21.9%
Bachelor Degree 2546
 
4.4%
CEGEP 2525
 
4.4%
Vocational Education 229
 
0.4%
Master Degree 172
 
0.3%
Medicine/Dentistry Degree 118
 
0.2%
Doctorate Degree 65
 
0.1%

Length

2024-04-16T19:10:14.929936image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:10:15.468278image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
ValueCountFrequency (%)
level 39254
26.6%
secondary/school 21713
14.7%
basic 17541
11.9%
of 17541
11.9%
literacy 17541
11.9%
degree 15513
 
10.5%
diploma 12612
 
8.5%
bachelor 2546
 
1.7%
cegep 2525
 
1.7%
vocational 229
 
0.2%
Other values (4) 584
 
0.4%

Most occurring characters

ValueCountFrequency (%)
e 167438
15.0%
l 111436
 
10.0%
o 98655
 
8.8%
90078
 
8.0%
c 81695
 
7.3%
a 72877
 
6.5%
r 57668
 
5.2%
i 48506
 
4.3%
S 43426
 
3.9%
y 39372
 
3.5%
Other values (21) 308167
27.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 880502
78.7%
Uppercase Letter 126907
 
11.3%
Space Separator 90078
 
8.0%
Other Punctuation 21831
 
2.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 167438
19.0%
l 111436
12.7%
o 98655
11.2%
c 81695
9.3%
a 72877
8.3%
r 57668
 
6.5%
i 48506
 
5.5%
y 39372
 
4.5%
v 39254
 
4.5%
h 24259
 
2.8%
Other values (9) 139342
15.8%
Uppercase Letter
ValueCountFrequency (%)
S 43426
34.2%
D 28308
22.3%
L 21713
17.1%
B 20087
15.8%
E 5279
 
4.2%
C 2525
 
2.0%
G 2525
 
2.0%
P 2525
 
2.0%
M 290
 
0.2%
V 229
 
0.2%
Space Separator
ValueCountFrequency (%)
90078
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 21831
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1007409
90.0%
Common 111909
 
10.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 167438
16.6%
l 111436
11.1%
o 98655
 
9.8%
c 81695
 
8.1%
a 72877
 
7.2%
r 57668
 
5.7%
i 48506
 
4.8%
S 43426
 
4.3%
y 39372
 
3.9%
v 39254
 
3.9%
Other values (19) 247082
24.5%
Common
ValueCountFrequency (%)
90078
80.5%
/ 21831
 
19.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1119318
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 167438
15.0%
l 111436
 
10.0%
o 98655
 
8.8%
90078
 
8.0%
c 81695
 
7.3%
a 72877
 
6.5%
r 57668
 
5.2%
i 48506
 
4.3%
S 43426
 
3.9%
y 39372
 
3.5%
Other values (21) 308167
27.5%

Experience
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.9 MiB
No experience
17549 
1 year to less than 2 years
13336 
Will train
6182 
2 years to less than 3 years
4854 
Experience an asset
4848 
Other values (4)
10752 

Length

Max length28
Median length27
Mean length19.940596
Min length10

Characters and Unicode

Total characters1147003
Distinct characters24
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1 to less than 7 months
2nd row2 years to less than 3 years
3rd row3 years to less than 5 years
4th row7 months to less than 1 year
5th row7 months to less than 1 year

Common Values

ValueCountFrequency (%)
No experience 17549
30.5%
1 year to less than 2 years 13336
23.2%
Will train 6182
 
10.7%
2 years to less than 3 years 4854
 
8.4%
Experience an asset 4848
 
8.4%
7 months to less than 1 year 4100
 
7.1%
1 to less than 7 months 3244
 
5.6%
3 years to less than 5 years 2186
 
3.8%
5 years or more 1222
 
2.1%

Length

2024-04-16T19:10:16.005724image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:10:16.539421image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
ValueCountFrequency (%)
years 28638
11.1%
to 27720
10.8%
less 27720
10.8%
than 27720
10.8%
experience 22397
8.7%
1 20680
8.0%
2 18190
7.1%
no 17549
6.8%
year 17436
6.8%
7 7344
 
2.8%
Other values (9) 42296
16.4%

Most occurring characters

ValueCountFrequency (%)
200169
17.5%
e 164604
14.4%
s 101118
8.8%
a 89672
 
7.8%
r 77097
 
6.7%
t 73814
 
6.4%
n 68491
 
6.0%
o 55057
 
4.8%
y 46074
 
4.0%
l 40084
 
3.5%
Other values (14) 230823
20.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 861593
75.1%
Space Separator 200169
 
17.5%
Decimal Number 56662
 
4.9%
Uppercase Letter 28579
 
2.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 164604
19.1%
s 101118
11.7%
a 89672
10.4%
r 77097
8.9%
t 73814
8.6%
n 68491
7.9%
o 55057
 
6.4%
y 46074
 
5.3%
l 40084
 
4.7%
h 35064
 
4.1%
Other values (5) 110518
12.8%
Decimal Number
ValueCountFrequency (%)
1 20680
36.5%
2 18190
32.1%
7 7344
 
13.0%
3 7040
 
12.4%
5 3408
 
6.0%
Uppercase Letter
ValueCountFrequency (%)
N 17549
61.4%
W 6182
 
21.6%
E 4848
 
17.0%
Space Separator
ValueCountFrequency (%)
200169
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 890172
77.6%
Common 256831
 
22.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 164604
18.5%
s 101118
11.4%
a 89672
10.1%
r 77097
8.7%
t 73814
8.3%
n 68491
7.7%
o 55057
 
6.2%
y 46074
 
5.2%
l 40084
 
4.5%
h 35064
 
3.9%
Other values (8) 139097
15.6%
Common
ValueCountFrequency (%)
200169
77.9%
1 20680
 
8.1%
2 18190
 
7.1%
7 7344
 
2.9%
3 7040
 
2.7%
5 3408
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1147003
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
200169
17.5%
e 164604
14.4%
s 101118
8.8%
a 89672
 
7.8%
r 77097
 
6.7%
t 73814
 
6.4%
n 68491
 
6.0%
o 55057
 
4.8%
y 46074
 
4.0%
l 40084
 
3.5%
Other values (14) 230823
20.1%
Distinct23441
Distinct (%)40.8%
Missing0
Missing (%)0.0%
Memory size2.9 MiB
2024-04-16T19:10:17.503791image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length3029
Median length1857
Mean length327.4139
Min length0

Characters and Unicode

Total characters18833175
Distinct characters70
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19650 ?
Unique (%)34.2%

Sample

1st rowStudy plans, specifications or drawings of articles to be made, Trim joints and fit parts and subassemblies together to form complete unit and reinforce joints, Sand wooden surfaces and apply veneer, stain or polish to finished products; prepare and apply laminated plastics, Apply varnish, veneer, stain or polish to finished products, Maintain clean and safe work environment, Supervise other workers, Estimate costs and materials, Operate woodworking machines and use hand tools to cut, shape and form parts and components, Repair or restyle wooden furniture, fixtures and related products
2nd rowRead and interpret blueprints, drawings and sketches to determine specifications and calculate requirements, Prepare layouts in conformance to building codes, using measuring tools, Measure, cut, shape, assemble and join materials made of wood, wood substitutes, lightweight steel and other materials, Build foundations, install floor beams, lay subflooring and erect walls and roof systems, Fit and install windows, doors, stairs, mouldings and hardware, Schedule and co-ordinate work on sites, Instruct apprentices, Estimate costs and materials, Maintain, repair and renovate residences and wooden structures in mills, mines, hospitals, industrial plants and other establishments
3rd rowPrepare, clean and sand surfaces to be painted, Repair cracks and holes, Measure, cut and apply wallpaper and other fabric to walls, Erect scaffolding and swing stages and attach rigging, Apply paint, wallpaper and other materials and finishes to interior and exterior surfaces
4th rowManage staff and assign duties, Determine merchandise and services to be sold, Develop and implement marketing strategies, Plan budgets and monitor revenues and expenses, Determine staffing requirements, Resolve issues that may arise, including customer requests, complaints and supply shortages, Plan, organize, direct, control and evaluate daily operations, Recruit, hire and supervise staff and/or volunteers, Oversee payroll administration, Supervise office and volunteer staff, 3-4 people
5th rowDetermine and establish office procedures and routines, Schedule and confirm appointments, Answer telephone and relay telephone calls and messages, Answer electronic enquiries, Order office supplies and maintain inventory, Organize staff consultation and grievance procedures, Plan, organize, direct, control and evaluate daily operations, Arrange travel, related itineraries and make reservations, Greet people and direct them to contacts or service areas, Open and distribute regular and electronic incoming mail and other material and co-ordinate the flow of information, Provide customer service
ValueCountFrequency (%)
and 339206
 
13.0%
of 61245
 
2.4%
or 45436
 
1.7%
to 44309
 
1.7%
prepare 33914
 
1.3%
food 30993
 
1.2%
other 28208
 
1.1%
for 27871
 
1.1%
in 25867
 
1.0%
work 23660
 
0.9%
Other values (4881) 1939993
74.6%
2024-04-16T19:10:19.041111image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2563924
13.6%
e 1840047
 
9.8%
a 1418385
 
7.5%
n 1266532
 
6.7%
s 1254199
 
6.7%
r 1232491
 
6.5%
t 1156011
 
6.1%
i 1141434
 
6.1%
o 1117970
 
5.9%
d 781690
 
4.2%
Other values (60) 5060492
26.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 15366538
81.6%
Space Separator 2563924
 
13.6%
Other Punctuation 497745
 
2.6%
Uppercase Letter 354352
 
1.9%
Dash Punctuation 30506
 
0.2%
Decimal Number 14577
 
0.1%
Open Punctuation 2694
 
< 0.1%
Close Punctuation 2694
 
< 0.1%
Final Punctuation 145
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1840047
12.0%
a 1418385
9.2%
n 1266532
 
8.2%
s 1254199
 
8.2%
r 1232491
 
8.0%
t 1156011
 
7.5%
i 1141434
 
7.4%
o 1117970
 
7.3%
d 781690
 
5.1%
c 615685
 
4.0%
Other values (17) 3542094
23.1%
Uppercase Letter
ValueCountFrequency (%)
P 63121
17.8%
S 36720
10.4%
A 35498
10.0%
C 34483
9.7%
R 27319
7.7%
E 25213
 
7.1%
M 24613
 
6.9%
O 23096
 
6.5%
T 16946
 
4.8%
D 15940
 
4.5%
Other values (14) 51403
14.5%
Decimal Number
ValueCountFrequency (%)
1 4057
27.8%
3 2244
15.4%
4 2187
15.0%
0 2183
15.0%
5 2085
14.3%
2 1613
 
11.1%
6 178
 
1.2%
7 30
 
0.2%
Other Punctuation
ValueCountFrequency (%)
, 479288
96.3%
' 10087
 
2.0%
/ 4096
 
0.8%
. 2730
 
0.5%
; 1540
 
0.3%
: 4
 
< 0.1%
Space Separator
ValueCountFrequency (%)
2563924
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30506
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2694
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2694
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 145
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 15720890
83.5%
Common 3112285
 
16.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1840047
11.7%
a 1418385
 
9.0%
n 1266532
 
8.1%
s 1254199
 
8.0%
r 1232491
 
7.8%
t 1156011
 
7.4%
i 1141434
 
7.3%
o 1117970
 
7.1%
d 781690
 
5.0%
c 615685
 
3.9%
Other values (41) 3896446
24.8%
Common
ValueCountFrequency (%)
2563924
82.4%
, 479288
 
15.4%
- 30506
 
1.0%
' 10087
 
0.3%
/ 4096
 
0.1%
1 4057
 
0.1%
. 2730
 
0.1%
( 2694
 
0.1%
) 2694
 
0.1%
3 2244
 
0.1%
Other values (9) 9965
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18833008
> 99.9%
Punctuation 145
 
< 0.1%
None 22
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2563924
13.6%
e 1840047
 
9.8%
a 1418385
 
7.5%
n 1266532
 
6.7%
s 1254199
 
6.7%
r 1232491
 
6.5%
t 1156011
 
6.1%
i 1141434
 
6.1%
o 1117970
 
5.9%
d 781690
 
4.2%
Other values (58) 5060325
26.9%
Punctuation
ValueCountFrequency (%)
’ 145
100.0%
None
ValueCountFrequency (%)
é 22
100.0%

url
Text

Distinct57513
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Memory size2.9 MiB
2024-04-16T19:10:20.203778image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length132
Median length76
Mean length76.121695
Min length76

Characters and Unicode

Total characters4378596
Distinct characters41
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57505 ?
Unique (%)> 99.9%

Sample

1st rowhttps://www.jobbank.gc.ca/jobsearch/jobposting/40386176?source=searchresults
2nd rowhttps://www.jobbank.gc.ca/jobsearch/jobposting/40548520?source=searchresults
3rd rowhttps://www.jobbank.gc.ca/jobsearch/jobposting/40492860?source=searchresults
4th rowhttps://www.jobbank.gc.ca/jobsearch/jobposting/40483792?source=searchresults
5th rowhttps://www.jobbank.gc.ca/jobsearch/jobposting/40613014?source=searchresults
ValueCountFrequency (%)
https://www.jobbank.gc.ca/jobsearch/jobposting/40646845?source=searchresults 2
 
< 0.1%
https://www.jobbank.gc.ca/jobsearch/jobposting/40418548?source=searchresults 2
 
< 0.1%
https://www.jobbank.gc.ca/jobsearch/jobposting/40615440?source=searchresults 2
 
< 0.1%
https://www.jobbank.gc.ca/jobsearch/jobposting/40634101?source=searchresults 2
 
< 0.1%
https://www.jobbank.gc.ca/jobsearch/jobposting/40379009?source=searchresults 2
 
< 0.1%
https://www.jobbank.gc.ca/jobsearch/jobposting/40589620?source=searchresults 2
 
< 0.1%
https://www.jobbank.gc.ca/jobsearch/jobposting/40638553?source=searchresults 2
 
< 0.1%
https://www.jobbank.gc.ca/jobsearch/jobposting/40614709?source=searchresults 2
 
< 0.1%
https://www.jobbank.gc.ca/jobsearch/jobposting/40591652?source=searchresults 1
 
< 0.1%
https://www.jobbank.gc.ca/jobsearch/jobposting/40395602?source=searchresults 1
 
< 0.1%
Other values (57503) 57503
> 99.9%
2024-04-16T19:10:21.706830image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
s 403147
 
9.2%
o 287855
 
6.6%
c 287730
 
6.6%
/ 287605
 
6.6%
e 230334
 
5.3%
b 230209
 
5.3%
a 230209
 
5.3%
r 230209
 
5.3%
t 230084
 
5.3%
j 172813
 
3.9%
Other values (31) 1788401
40.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3281072
74.9%
Other Punctuation 575460
 
13.1%
Decimal Number 462893
 
10.6%
Math Symbol 57646
 
1.3%
Uppercase Letter 1525
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 403147
12.3%
o 287855
 
8.8%
c 287730
 
8.8%
e 230334
 
7.0%
b 230209
 
7.0%
a 230209
 
7.0%
r 230209
 
7.0%
t 230084
 
7.0%
j 172813
 
5.3%
h 172688
 
5.3%
Other values (9) 805794
24.6%
Decimal Number
ValueCountFrequency (%)
4 102738
22.2%
0 86590
18.7%
5 49408
10.7%
6 41756
9.0%
2 32212
 
7.0%
3 32148
 
6.9%
1 31754
 
6.9%
9 29466
 
6.4%
8 29368
 
6.3%
7 27453
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
A 350
23.0%
B 300
19.7%
F 275
18.0%
D 250
16.4%
E 200
13.1%
C 150
9.8%
Other Punctuation
ValueCountFrequency (%)
/ 287605
50.0%
. 172688
30.0%
? 57521
 
10.0%
: 57521
 
10.0%
; 125
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
= 57646
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3282597
75.0%
Common 1095999
 
25.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
s 403147
12.3%
o 287855
 
8.8%
c 287730
 
8.8%
e 230334
 
7.0%
b 230209
 
7.0%
a 230209
 
7.0%
r 230209
 
7.0%
t 230084
 
7.0%
j 172813
 
5.3%
h 172688
 
5.3%
Other values (15) 807319
24.6%
Common
ValueCountFrequency (%)
/ 287605
26.2%
. 172688
15.8%
4 102738
 
9.4%
0 86590
 
7.9%
= 57646
 
5.3%
? 57521
 
5.2%
: 57521
 
5.2%
5 49408
 
4.5%
6 41756
 
3.8%
2 32212
 
2.9%
Other values (6) 150314
13.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4378596
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
s 403147
 
9.2%
o 287855
 
6.6%
c 287730
 
6.6%
/ 287605
 
6.6%
e 230334
 
5.3%
b 230209
 
5.3%
a 230209
 
5.3%
r 230209
 
5.3%
t 230084
 
5.3%
j 172813
 
3.9%
Other values (31) 1788401
40.8%

Work_hours
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct242
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.764524
Minimum1
Maximum2190
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-04-16T19:10:22.239094image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile30
Q135
median39.764524
Q340
95-th percentile40
Maximum2190
Range2189
Interquartile range (IQR)5

Descriptive statistics

Standard deviation62.757607
Coefficient of variation (CV)1.578231
Kurtosis1032.5935
Mean39.764524
Median Absolute Deviation (MAD)1.7645244
Skewness31.856331
Sum2287295.2
Variance3938.5172
MonotonicityNot monotonic
2024-04-16T19:10:22.709839image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40 14128
24.6%
39.7645244 13860
24.1%
35 13273
23.1%
37.5 4367
 
7.6%
30 2689
 
4.7%
32 1327
 
2.3%
36 1193
 
2.1%
32.5 721
 
1.3%
50 589
 
1.0%
37 525
 
0.9%
Other values (232) 4849
 
8.4%
ValueCountFrequency (%)
1 39
0.1%
2 2
 
< 0.1%
3 3
 
< 0.1%
4 11
 
< 0.1%
4.5 4
 
< 0.1%
5 45
0.1%
6 16
 
< 0.1%
6.25 1
 
< 0.1%
6.5 13
 
< 0.1%
7 6
 
< 0.1%
ValueCountFrequency (%)
2190 26
< 0.1%
2080 6
 
< 0.1%
2015 4
 
< 0.1%
2000 1
 
< 0.1%
1950 8
 
< 0.1%
1885 1
 
< 0.1%
1856 1
 
< 0.1%
1820 1
 
< 0.1%
1760 1
 
< 0.1%
1624 1
 
< 0.1%

Work_hours_measure
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.9 MiB
hours per week
56971 
hours bi-weekly
 
425
hours per year
 
63
hours per month
 
62

Length

Max length15
Median length14
Mean length14.008466
Min length14

Characters and Unicode

Total characters805781
Distinct characters19
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowhours per week
2nd rowhours per week
3rd rowhours per week
4th rowhours per week
5th rowhours per week

Common Values

ValueCountFrequency (%)
hours per week 56971
99.0%
hours bi-weekly 425
 
0.7%
hours per year 63
 
0.1%
hours per month 62
 
0.1%

Length

2024-04-16T19:10:23.147102image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:10:23.585163image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
ValueCountFrequency (%)
hours 57521
33.4%
per 57096
33.2%
week 56971
33.1%
bi-weekly 425
 
0.2%
year 63
 
< 0.1%
month 62
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
e 171951
21.3%
r 114680
14.2%
114617
14.2%
h 57583
 
7.1%
o 57583
 
7.1%
u 57521
 
7.1%
s 57521
 
7.1%
w 57396
 
7.1%
k 57396
 
7.1%
p 57096
 
7.1%
Other values (9) 2437
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 690739
85.7%
Space Separator 114617
 
14.2%
Dash Punctuation 425
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 171951
24.9%
r 114680
16.6%
h 57583
 
8.3%
o 57583
 
8.3%
u 57521
 
8.3%
s 57521
 
8.3%
w 57396
 
8.3%
k 57396
 
8.3%
p 57096
 
8.3%
y 488
 
0.1%
Other values (7) 1524
 
0.2%
Space Separator
ValueCountFrequency (%)
114617
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 425
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 690739
85.7%
Common 115042
 
14.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 171951
24.9%
r 114680
16.6%
h 57583
 
8.3%
o 57583
 
8.3%
u 57521
 
8.3%
s 57521
 
8.3%
w 57396
 
8.3%
k 57396
 
8.3%
p 57096
 
8.3%
y 488
 
0.1%
Other values (7) 1524
 
0.2%
Common
ValueCountFrequency (%)
114617
99.6%
- 425
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 805781
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 171951
21.3%
r 114680
14.2%
114617
14.2%
h 57583
 
7.1%
o 57583
 
7.1%
u 57521
 
7.1%
s 57521
 
7.1%
w 57396
 
7.1%
k 57396
 
7.1%
p 57096
 
7.1%
Other values (9) 2437
 
0.3%

Salary_measure
Categorical

IMBALANCE 

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.9 MiB
HOUR
51208 
YEAR
5363 
WEEKLY
 
474
BIWEEKLY
 
230
MONTH
 
161

Length

Max length8
Median length4
Mean length4.0337964
Min length3

Characters and Unicode

Total characters232028
Distinct characters16
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowHOUR
2nd rowHOUR
3rd rowHOUR
4th rowHOUR
5th rowHOUR

Common Values

ValueCountFrequency (%)
HOUR 51208
89.0%
YEAR 5363
 
9.3%
WEEKLY 474
 
0.8%
BIWEEKLY 230
 
0.4%
MONTH 161
 
0.3%
DAY 85
 
0.1%

Length

2024-04-16T19:10:23.978963image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T19:10:24.443829image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
ValueCountFrequency (%)
hour 51208
89.0%
year 5363
 
9.3%
weekly 474
 
0.8%
biweekly 230
 
0.4%
month 161
 
0.3%
day 85
 
0.1%

Most occurring characters

ValueCountFrequency (%)
R 56571
24.4%
H 51369
22.1%
O 51369
22.1%
U 51208
22.1%
E 6771
 
2.9%
Y 6152
 
2.7%
A 5448
 
2.3%
W 704
 
0.3%
K 704
 
0.3%
L 704
 
0.3%
Other values (6) 1028
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 232028
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
R 56571
24.4%
H 51369
22.1%
O 51369
22.1%
U 51208
22.1%
E 6771
 
2.9%
Y 6152
 
2.7%
A 5448
 
2.3%
W 704
 
0.3%
K 704
 
0.3%
L 704
 
0.3%
Other values (6) 1028
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
Latin 232028
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
R 56571
24.4%
H 51369
22.1%
O 51369
22.1%
U 51208
22.1%
E 6771
 
2.9%
Y 6152
 
2.7%
A 5448
 
2.3%
W 704
 
0.3%
K 704
 
0.3%
L 704
 
0.3%
Other values (6) 1028
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 232028
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
R 56571
24.4%
H 51369
22.1%
O 51369
22.1%
U 51208
22.1%
E 6771
 
2.9%
Y 6152
 
2.7%
A 5448
 
2.3%
W 704
 
0.3%
K 704
 
0.3%
L 704
 
0.3%
Other values (6) 1028
 
0.4%
Distinct13
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.9 MiB
ON
14876 
AB
11727 
BC
11013 
QC
10798 
SK
2438 
Other values (8)
6669 

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters115042
Distinct characters15
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowON
2nd rowON
3rd rowON
4th rowON
5th rowON

Common Values

ValueCountFrequency (%)
ON 14876
25.9%
AB 11727
20.4%
BC 11013
19.1%
QC 10798
18.8%
SK 2438
 
4.2%
MB 2386
 
4.1%
NS 1512
 
2.6%
NB 1139
 
2.0%
NL 897
 
1.6%
PE 290
 
0.5%
Other values (3) 445
 
0.8%

Length

2024-04-16T19:10:24.952955image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
on 14876
25.9%
ab 11727
20.4%
bc 11013
19.1%
qc 10798
18.8%
sk 2438
 
4.2%
mb 2386
 
4.1%
ns 1512
 
2.6%
nb 1139
 
2.0%
nl 897
 
1.6%
pe 290
 
0.5%
Other values (3) 445
 
0.8%

Most occurring characters

ValueCountFrequency (%)
B 26265
22.8%
C 21811
19.0%
N 18580
16.2%
O 14876
12.9%
A 11727
10.2%
Q 10798
9.4%
S 3950
 
3.4%
K 2438
 
2.1%
M 2386
 
2.1%
L 897
 
0.8%
Other values (5) 1314
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 115042
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
B 26265
22.8%
C 21811
19.0%
N 18580
16.2%
O 14876
12.9%
A 11727
10.2%
Q 10798
9.4%
S 3950
 
3.4%
K 2438
 
2.1%
M 2386
 
2.1%
L 897
 
0.8%
Other values (5) 1314
 
1.1%

Most occurring scripts

ValueCountFrequency (%)
Latin 115042
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
B 26265
22.8%
C 21811
19.0%
N 18580
16.2%
O 14876
12.9%
A 11727
10.2%
Q 10798
9.4%
S 3950
 
3.4%
K 2438
 
2.1%
M 2386
 
2.1%
L 897
 
0.8%
Other values (5) 1314
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 115042
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
B 26265
22.8%
C 21811
19.0%
N 18580
16.2%
O 14876
12.9%
A 11727
10.2%
Q 10798
9.4%
S 3950
 
3.4%
K 2438
 
2.1%
M 2386
 
2.1%
L 897
 
0.8%
Other values (5) 1314
 
1.1%

Derived_Monthly_Salary
Real number (ℝ)

SKEWED 

Distinct3832
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4035.8573
Minimum1.3333333
Maximum300000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-04-16T19:10:25.398129image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum1.3333333
5-th percentile2440
Q12880
median3660.8
Q34480
95-th percentile7137.6
Maximum300000
Range299998.67
Interquartile range (IQR)1600

Descriptive statistics

Standard deviation3187.7812
Coefficient of variation (CV)0.78986469
Kurtosis3417.9908
Mean4035.8573
Median Absolute Deviation (MAD)819.2
Skewness46.059603
Sum2.3214655 × 108
Variance10161949
MonotonicityNot monotonic
2024-04-16T19:10:25.872184image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2880 3236
 
5.6%
3200 2981
 
5.2%
2720 2703
 
4.7%
4000 2114
 
3.7%
3040 1452
 
2.5%
3520 1404
 
2.4%
2400 1319
 
2.3%
4320 1310
 
2.3%
4400 1224
 
2.1%
4800 1221
 
2.1%
Other values (3822) 38557
67.0%
ValueCountFrequency (%)
1.333333333 1
< 0.1%
1.5 2
< 0.1%
1.583333333 1
< 0.1%
1.586666667 1
< 0.1%
1.615833333 1
< 0.1%
1.859166667 1
< 0.1%
1.863333333 1
< 0.1%
1.916666667 1
< 0.1%
1.926666667 1
< 0.1%
1.9275 1
< 0.1%
ValueCountFrequency (%)
300000 1
< 0.1%
260000 1
< 0.1%
250000 1
< 0.1%
200000 1
< 0.1%
195600 1
< 0.1%
180000 1
< 0.1%
168600 1
< 0.1%
90000 1
< 0.1%
80000 1
< 0.1%
66648 1
< 0.1%
Distinct143
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.334534
Minimum4
Maximum1123
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-04-16T19:10:26.396851image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile14
Q130
median30
Q335.334534
95-th percentile60
Maximum1123
Range1119
Interquartile range (IQR)5.3345342

Descriptive statistics

Standard deviation16.692411
Coefficient of variation (CV)0.47241067
Kurtosis427.60222
Mean35.334534
Median Absolute Deviation (MAD)1
Skewness10.693432
Sum2032477.7
Variance278.63659
MonotonicityNot monotonic
2024-04-16T19:10:26.880592image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30 26104
45.4%
35.33453423 7003
 
12.2%
29 5273
 
9.2%
14 2431
 
4.2%
55 1092
 
1.9%
58 767
 
1.3%
60 731
 
1.3%
31 677
 
1.2%
57 636
 
1.1%
59 575
 
1.0%
Other values (133) 12232
21.3%
ValueCountFrequency (%)
4 1
 
< 0.1%
5 6
 
< 0.1%
6 90
0.2%
7 39
 
0.1%
8 11
 
< 0.1%
9 80
0.1%
10 55
0.1%
11 75
0.1%
12 51
0.1%
13 100
0.2%
ValueCountFrequency (%)
1123 1
 
< 0.1%
729 1
 
< 0.1%
389 1
 
< 0.1%
384 1
 
< 0.1%
383 1
 
< 0.1%
365 1
 
< 0.1%
334 7
< 0.1%
333 2
 
< 0.1%
332 10
< 0.1%
331 6
< 0.1%
Distinct30345
Distinct (%)52.8%
Missing0
Missing (%)0.0%
Memory size2.9 MiB
2024-04-16T19:10:27.782210image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length3061
Median length1698
Mean length349.09428
Min length5

Characters and Unicode

Total characters20080252
Distinct characters84
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25064 ?
Unique (%)43.6%

Sample

1st rowcabinetmaker Study plans, specifications or drawings of articles to be made, Trim joints and fit parts and subassemblies together to form complete unit and reinforce joints, Sand wooden surfaces and apply veneer, stain or polish to finished products; prepare and apply laminated plastics, Apply varnish, veneer, stain or polish to finished products, Maintain clean and safe work environment, Supervise other workers, Estimate costs and materials, Operate woodworking machines and use hand tools to cut, shape and form parts and components, Repair or restyle wooden furniture, fixtures and related products
2nd rowrestoration carpenter Read and interpret blueprints, drawings and sketches to determine specifications and calculate requirements, Prepare layouts in conformance to building codes, using measuring tools, Measure, cut, shape, assemble and join materials made of wood, wood substitutes, lightweight steel and other materials, Build foundations, install floor beams, lay subflooring and erect walls and roof systems, Fit and install windows, doors, stairs, mouldings and hardware, Schedule and co-ordinate work on sites, Instruct apprentices, Estimate costs and materials, Maintain, repair and renovate residences and wooden structures in mills, mines, hospitals, industrial plants and other establishments
3rd rowpainter Prepare, clean and sand surfaces to be painted, Repair cracks and holes, Measure, cut and apply wallpaper and other fabric to walls, Erect scaffolding and swing stages and attach rigging, Apply paint, wallpaper and other materials and finishes to interior and exterior surfaces
4th rowstore manager - retail Manage staff and assign duties, Determine merchandise and services to be sold, Develop and implement marketing strategies, Plan budgets and monitor revenues and expenses, Determine staffing requirements, Resolve issues that may arise, including customer requests, complaints and supply shortages, Plan, organize, direct, control and evaluate daily operations, Recruit, hire and supervise staff and/or volunteers, Oversee payroll administration, Supervise office and volunteer staff, 3-4 people
5th rowadministrative assistant Determine and establish office procedures and routines, Schedule and confirm appointments, Answer telephone and relay telephone calls and messages, Answer electronic enquiries, Order office supplies and maintain inventory, Organize staff consultation and grievance procedures, Plan, organize, direct, control and evaluate daily operations, Arrange travel, related itineraries and make reservations, Greet people and direct them to contacts or service areas, Open and distribute regular and electronic incoming mail and other material and co-ordinate the flow of information, Provide customer service
ValueCountFrequency (%)
and 341457
 
12.4%
of 61340
 
2.2%
or 45559
 
1.7%
to 44314
 
1.6%
food 36377
 
1.3%
prepare 33914
 
1.2%
other 28528
 
1.0%
for 27978
 
1.0%
in 25879
 
0.9%
work 23689
 
0.9%
Other values (6384) 2080558
75.7%
2024-04-16T19:10:29.310315image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2712914
13.5%
e 1971132
 
9.8%
a 1510774
 
7.5%
r 1341442
 
6.7%
n 1340065
 
6.7%
s 1332740
 
6.6%
t 1240608
 
6.2%
i 1232238
 
6.1%
o 1196035
 
6.0%
d 814518
 
4.1%
Other values (74) 5387786
26.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 16443102
81.9%
Space Separator 2712918
 
13.5%
Other Punctuation 503621
 
2.5%
Uppercase Letter 359841
 
1.8%
Dash Punctuation 37244
 
0.2%
Decimal Number 14675
 
0.1%
Close Punctuation 4353
 
< 0.1%
Open Punctuation 4353
 
< 0.1%
Final Punctuation 145
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1971132
12.0%
a 1510774
 
9.2%
r 1341442
 
8.2%
n 1340065
 
8.1%
s 1332740
 
8.1%
t 1240608
 
7.5%
i 1232238
 
7.5%
o 1196035
 
7.3%
d 814518
 
5.0%
c 677485
 
4.1%
Other values (20) 3786065
23.0%
Uppercase Letter
ValueCountFrequency (%)
P 63354
17.6%
S 36891
10.3%
A 35779
9.9%
C 35488
9.9%
R 27707
7.7%
E 26306
7.3%
M 24783
 
6.9%
O 23294
 
6.5%
T 17298
 
4.8%
D 16026
 
4.5%
Other values (15) 52915
14.7%
Other Punctuation
ValueCountFrequency (%)
, 483804
96.1%
' 10264
 
2.0%
/ 4619
 
0.9%
. 3346
 
0.7%
; 1540
 
0.3%
" 14
 
< 0.1%
: 10
 
< 0.1%
& 10
 
< 0.1%
# 9
 
< 0.1%
! 3
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 4080
27.8%
3 2259
15.4%
0 2198
15.0%
4 2193
14.9%
5 2091
14.2%
2 1628
 
11.1%
6 184
 
1.3%
7 33
 
0.2%
8 5
 
< 0.1%
9 4
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 37191
99.9%
– 49
 
0.1%
— 4
 
< 0.1%
Space Separator
ValueCountFrequency (%)
2712914
> 99.9%
  4
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 4353
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4353
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 145
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 16802943
83.7%
Common 3277309
 
16.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1971132
11.7%
a 1510774
 
9.0%
r 1341442
 
8.0%
n 1340065
 
8.0%
s 1332740
 
7.9%
t 1240608
 
7.4%
i 1232238
 
7.3%
o 1196035
 
7.1%
d 814518
 
4.8%
c 677485
 
4.0%
Other values (45) 4145906
24.7%
Common
ValueCountFrequency (%)
2712914
82.8%
, 483804
 
14.8%
- 37191
 
1.1%
' 10264
 
0.3%
/ 4619
 
0.1%
) 4353
 
0.1%
( 4353
 
0.1%
1 4080
 
0.1%
. 3346
 
0.1%
3 2259
 
0.1%
Other values (19) 10126
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20079979
> 99.9%
Punctuation 198
 
< 0.1%
None 75
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2712914
13.5%
e 1971132
 
9.8%
a 1510774
 
7.5%
r 1341442
 
6.7%
n 1340065
 
6.7%
s 1332740
 
6.6%
t 1240608
 
6.2%
i 1232238
 
6.1%
o 1196035
 
6.0%
d 814518
 
4.1%
Other values (66) 5387513
26.8%
Punctuation
ValueCountFrequency (%)
’ 145
73.2%
– 49
 
24.7%
— 4
 
2.0%
None
ValueCountFrequency (%)
é 66
88.0%
  4
 
5.3%
â 3
 
4.0%
î 1
 
1.3%
ô 1
 
1.3%

Job_Field
Categorical

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.9 MiB
Healthcare/Technical Software Solutions
13787 
Administrative Services
13724 
Logistics and Transportation
9560 
Culinary Services
5834 
Industrial Equipment Services
5103 
Other values (6)
9513 

Length

Max length39
Median length35
Mean length29.111298
Min length17

Characters and Unicode

Total characters1674511
Distinct characters34
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAdministrative Services
2nd rowHealthcare/Technical Software Solutions
3rd rowIndustrial Equipment Services
4th rowAdministrative Services
5th rowAdministrative Services

Common Values

ValueCountFrequency (%)
Healthcare/Technical Software Solutions 13787
24.0%
Administrative Services 13724
23.9%
Logistics and Transportation 9560
16.6%
Culinary Services 5834
10.1%
Industrial Equipment Services 5103
 
8.9%
Construction and Materials Handling 2683
 
4.7%
Childcare and Administrative Services 2641
 
4.6%
Hospitality and Cleaning Services 2391
 
4.2%
Retail Management 945
 
1.6%
Food Service Management 845
 
1.5%

Length

2024-04-16T19:10:29.798767image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
services 29693
18.6%
and 17283
10.8%
administrative 16365
10.2%
healthcare/technical 13787
8.6%
solutions 13787
8.6%
software 13787
8.6%
logistics 9560
 
6.0%
transportation 9560
 
6.0%
culinary 5834
 
3.7%
industrial 5103
 
3.2%
Other values (13) 25024
15.7%

Most occurring characters

ValueCountFrequency (%)
i 170783
 
10.2%
e 149948
 
9.0%
a 138866
 
8.3%
t 128567
 
7.7%
n 115492
 
6.9%
r 112557
 
6.7%
102262
 
6.1%
s 101393
 
6.1%
c 86799
 
5.2%
o 79512
 
4.7%
Other values (24) 488332
29.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1402175
83.7%
Uppercase Letter 156287
 
9.3%
Space Separator 102262
 
6.1%
Other Punctuation 13787
 
0.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 170783
12.2%
e 149948
10.7%
a 138866
9.9%
t 128567
9.2%
n 115492
8.2%
r 112557
8.0%
s 101393
7.2%
c 86799
 
6.2%
o 79512
 
5.7%
l 66040
 
4.7%
Other values (11) 252218
18.0%
Uppercase Letter
ValueCountFrequency (%)
S 58112
37.2%
T 23347
14.9%
H 18861
 
12.1%
A 16373
 
10.5%
C 13565
 
8.7%
L 9560
 
6.1%
I 5103
 
3.3%
E 5103
 
3.3%
M 4473
 
2.9%
R 945
 
0.6%
Space Separator
ValueCountFrequency (%)
102262
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 13787
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1558462
93.1%
Common 116049
 
6.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 170783
11.0%
e 149948
 
9.6%
a 138866
 
8.9%
t 128567
 
8.2%
n 115492
 
7.4%
r 112557
 
7.2%
s 101393
 
6.5%
c 86799
 
5.6%
o 79512
 
5.1%
l 66040
 
4.2%
Other values (22) 408505
26.2%
Common
ValueCountFrequency (%)
102262
88.1%
/ 13787
 
11.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1674511
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i 170783
 
10.2%
e 149948
 
9.0%
a 138866
 
8.3%
t 128567
 
7.7%
n 115492
 
6.9%
r 112557
 
6.7%
102262
 
6.1%
s 101393
 
6.1%
c 86799
 
5.2%
o 79512
 
4.7%
Other values (24) 488332
29.2%

Experience_encoded
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8318701
Minimum0
Maximum8
Zeros17549
Zeros (%)30.5%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-04-16T19:10:30.180272image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q35
95-th percentile7
Maximum8
Range8
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.4757061
Coefficient of variation (CV)0.8742301
Kurtosis-1.3693599
Mean2.8318701
Median Absolute Deviation (MAD)2
Skewness0.21135803
Sum162892
Variance6.1291206
MonotonicityNot monotonic
2024-04-16T19:10:30.568175image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 17549
30.5%
5 13336
23.2%
1 6182
 
10.7%
6 4854
 
8.4%
2 4848
 
8.4%
4 4100
 
7.1%
3 3244
 
5.6%
7 2186
 
3.8%
8 1222
 
2.1%
ValueCountFrequency (%)
0 17549
30.5%
1 6182
 
10.7%
2 4848
 
8.4%
3 3244
 
5.6%
4 4100
 
7.1%
5 13336
23.2%
6 4854
 
8.4%
7 2186
 
3.8%
8 1222
 
2.1%
ValueCountFrequency (%)
8 1222
 
2.1%
7 2186
 
3.8%
6 4854
 
8.4%
5 13336
23.2%
4 4100
 
7.1%
3 3244
 
5.6%
2 4848
 
8.4%
1 6182
 
10.7%
0 17549
30.5%

Education_Encoded
Real number (ℝ)

HIGH CORRELATION 

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0303194
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-04-16T19:10:30.958090image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q35
95-th percentile6
Maximum9
Range8
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.6376839
Coefficient of variation (CV)0.54043276
Kurtosis-0.85941592
Mean3.0303194
Median Absolute Deviation (MAD)2
Skewness0.22708774
Sum174307
Variance2.6820084
MonotonicityNot monotonic
2024-04-16T19:10:31.323967image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3 21713
37.7%
1 17541
30.5%
5 12612
21.9%
6 2546
 
4.4%
4 2525
 
4.4%
2 229
 
0.4%
7 172
 
0.3%
8 118
 
0.2%
9 65
 
0.1%
ValueCountFrequency (%)
1 17541
30.5%
2 229
 
0.4%
3 21713
37.7%
4 2525
 
4.4%
5 12612
21.9%
6 2546
 
4.4%
7 172
 
0.3%
8 118
 
0.2%
9 65
 
0.1%
ValueCountFrequency (%)
9 65
 
0.1%
8 118
 
0.2%
7 172
 
0.3%
6 2546
 
4.4%
5 12612
21.9%
4 2525
 
4.4%
3 21713
37.7%
2 229
 
0.4%
1 17541
30.5%

Job_Field_Encoded
Real number (ℝ)

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.0448706
Minimum1
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-04-16T19:10:31.709142image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median7
Q310
95-th percentile11
Maximum11
Range10
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.29352
Coefficient of variation (CV)0.4675061
Kurtosis-1.021818
Mean7.0448706
Median Absolute Deviation (MAD)2
Skewness-0.36498884
Sum405228
Variance10.847274
MonotonicityNot monotonic
2024-04-16T19:10:32.074394image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
11 13787
24.0%
5 13724
23.9%
9 9560
16.6%
1 5834
10.1%
6 5103
 
8.9%
10 2683
 
4.7%
8 2641
 
4.6%
2 2391
 
4.2%
4 945
 
1.6%
7 845
 
1.5%
ValueCountFrequency (%)
1 5834
10.1%
2 2391
 
4.2%
3 8
 
< 0.1%
4 945
 
1.6%
5 13724
23.9%
6 5103
 
8.9%
7 845
 
1.5%
8 2641
 
4.6%
9 9560
16.6%
10 2683
 
4.7%
ValueCountFrequency (%)
11 13787
24.0%
10 2683
 
4.7%
9 9560
16.6%
8 2641
 
4.6%
7 845
 
1.5%
6 5103
 
8.9%
5 13724
23.9%
4 945
 
1.6%
3 8
 
< 0.1%
2 2391
 
4.2%

Employment_Type_Encoded
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.46543
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2024-04-16T19:10:32.419128image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q16
median6
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.1820951
Coefficient of variation (CV)0.21628584
Kurtosis3.8234765
Mean5.46543
Median Absolute Deviation (MAD)0
Skewness-2.2127461
Sum314377
Variance1.3973489
MonotonicityNot monotonic
2024-04-16T19:10:32.775487image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 45371
78.9%
3 3693
 
6.4%
5 3496
 
6.1%
4 2289
 
4.0%
2 1764
 
3.1%
1 908
 
1.6%
ValueCountFrequency (%)
1 908
 
1.6%
2 1764
 
3.1%
3 3693
 
6.4%
4 2289
 
4.0%
5 3496
 
6.1%
6 45371
78.9%
ValueCountFrequency (%)
6 45371
78.9%
5 3496
 
6.1%
4 2289
 
4.0%
3 3693
 
6.4%
2 1764
 
3.1%
1 908
 
1.6%
Distinct54237
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Memory size2.9 MiB
2024-04-16T19:10:33.859564image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length266
Median length198
Mean length109.07801
Min length52

Characters and Unicode

Total characters6274276
Distinct characters27
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52227 ?
Unique (%)90.8%

Sample

1st rowcabinetmaker sympro mfg inc mississauga onenglish secondaryschool level administrative service
2nd rowrestoration carpenter supra restoration service ltd bradford onenglish secondaryschool level healthcaretechnical software solution
3rd rowpainter majestic renovation bradford onenglish diploma degree industrial equipment service
4th rowstore manager retail professional book fair toronto onenglish diploma degree administrative service
5th rowadministrative assistant urban decor furnishing brampton onenglish secondaryschool level administrative service
ValueCountFrequency (%)
level 39328
 
5.4%
service 39002
 
5.4%
secondaryschool 21713
 
3.0%
administrative 19347
 
2.7%
literacy 17552
 
2.4%
basic 17544
 
2.4%
degree 15519
 
2.1%
onenglish 14716
 
2.0%
solution 14534
 
2.0%
software 14023
 
1.9%
Other values (24796) 512127
70.6%
2024-04-16T19:10:35.528598image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 669680
10.7%
667884
10.6%
i 497578
 
7.9%
a 460389
 
7.3%
r 407043
 
6.5%
n 402585
 
6.4%
l 391563
 
6.2%
s 391057
 
6.2%
t 374584
 
6.0%
o 369614
 
5.9%
Other values (17) 1642299
26.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5606392
89.4%
Space Separator 667884
 
10.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 669680
11.9%
i 497578
 
8.9%
a 460389
 
8.2%
r 407043
 
7.3%
n 402585
 
7.2%
l 391563
 
7.0%
s 391057
 
7.0%
t 374584
 
6.7%
o 369614
 
6.6%
c 355492
 
6.3%
Other values (16) 1286807
23.0%
Space Separator
ValueCountFrequency (%)
667884
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5606392
89.4%
Common 667884
 
10.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 669680
11.9%
i 497578
 
8.9%
a 460389
 
8.2%
r 407043
 
7.3%
n 402585
 
7.2%
l 391563
 
7.0%
s 391057
 
7.0%
t 374584
 
6.7%
o 369614
 
6.6%
c 355492
 
6.3%
Other values (16) 1286807
23.0%
Common
ValueCountFrequency (%)
667884
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6274276
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 669680
10.7%
667884
10.6%
i 497578
 
7.9%
a 460389
 
7.3%
r 407043
 
6.5%
n 402585
 
6.4%
l 391563
 
6.2%
s 391057
 
6.2%
t 374584
 
6.0%
o 369614
 
5.9%
Other values (17) 1642299
26.2%

Interactions

2024-04-16T19:09:51.442183image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2024-04-16T19:09:27.076707image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2024-04-16T19:09:30.509438image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2024-04-16T19:09:33.765057image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2024-04-16T19:09:37.541631image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2024-04-16T19:09:40.972195image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2024-04-16T19:09:44.537236image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2024-04-16T19:09:48.085315image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2024-04-16T19:09:51.862527image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2024-04-16T19:09:27.503048image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2024-04-16T19:09:30.920045image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2024-04-16T19:09:34.201772image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2024-04-16T19:09:37.972578image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2024-04-16T19:09:41.420712image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2024-04-16T19:09:44.983793image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2024-04-16T19:09:48.493483image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2024-04-16T19:09:52.260143image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2024-04-16T19:09:27.898862image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2024-04-16T19:09:31.299631image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2024-04-16T19:09:34.621871image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2024-04-16T19:09:38.371879image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2024-04-16T19:09:41.833010image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2024-04-16T19:09:45.400456image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2024-04-16T19:09:48.876432image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2024-04-16T19:09:52.685330image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2024-04-16T19:09:28.333989image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2024-04-16T19:09:31.715894image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2024-04-16T19:09:35.131990image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2024-04-16T19:09:38.800422image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2024-04-16T19:09:42.292766image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2024-04-16T19:09:45.858013image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2024-04-16T19:09:49.330888image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2024-04-16T19:09:53.108456image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2024-04-16T19:09:28.747252image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2024-04-16T19:09:32.116774image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2024-04-16T19:09:35.658971image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2024-04-16T19:09:39.217383image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2024-04-16T19:09:42.725902image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2024-04-16T19:09:46.298141image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2024-04-16T19:09:49.748697image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2024-04-16T19:09:53.553313image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2024-04-16T19:09:29.246888image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2024-04-16T19:09:32.545106image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2024-04-16T19:09:36.191679image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2024-04-16T19:09:39.669475image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2024-04-16T19:09:43.204913image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2024-04-16T19:09:46.769133image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2024-04-16T19:09:50.196434image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2024-04-16T19:09:53.998983image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2024-04-16T19:09:29.689245image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2024-04-16T19:09:32.985620image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2024-04-16T19:09:36.687351image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2024-04-16T19:09:40.129799image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2024-04-16T19:09:43.679189image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2024-04-16T19:09:47.241506image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2024-04-16T19:09:50.650755image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2024-04-16T19:09:54.978130image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2024-04-16T19:09:30.084776image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2024-04-16T19:09:33.368497image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2024-04-16T19:09:37.104192image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2024-04-16T19:09:40.519469image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2024-04-16T19:09:44.111226image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2024-04-16T19:09:47.654105image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2024-04-16T19:09:51.041477image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Correlations

2024-04-16T19:10:36.017689image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Derived_Monthly_SalaryEducationEducation_EncodedEmployment TypeEmployment_Type_EncodedExperienceExperience_encodedJob_FieldJob_Field_EncodedLanguagesProvince and TerritoriesSalary_measureVacanciesWork_hoursWork_hours_measureadvertisment_validuty_duration
Derived_Monthly_Salary1.0000.1150.0070.0000.0890.0100.1260.0140.4170.0000.0070.079-0.2050.0740.088-0.107
Education0.1151.0000.2760.2460.3800.3970.5640.279-0.1700.1130.1970.1720.254-0.0740.1160.103
Education_Encoded0.0070.2761.0000.2460.3690.3970.6660.2790.0840.1130.1970.1720.241-0.0810.1160.062
Employment Type0.0000.2460.2461.0000.2950.2450.2790.1920.0270.0740.2000.0940.1280.0520.051-0.108
Employment_Type_Encoded0.0890.3800.3690.2951.0000.2450.4170.1920.0070.0740.2000.0940.086-0.0040.0510.019
Experience0.0100.3970.3970.2450.2451.000-0.7520.282-0.0470.1120.2090.156-0.0100.0840.059-0.068
Experience_encoded0.1260.5640.6660.2790.417-0.7521.0000.2820.0660.1120.2090.1560.116-0.0560.0590.068
Job_Field0.0140.2790.2790.1920.1920.2820.2821.0000.3780.0630.1350.129-0.0780.0640.026-0.010
Job_Field_Encoded0.417-0.1700.0840.0270.007-0.0470.0660.3781.0000.0610.1400.129-0.1600.0190.026-0.040
Languages0.0000.1130.1130.0740.0740.1120.1120.0630.0611.0000.1970.0380.0620.0550.0200.087
Province and Territories0.0070.1970.1970.2000.2000.2090.2090.1350.1400.1971.0000.112-0.1020.0730.099-0.097
Salary_measure0.0790.1720.1720.0940.0940.1560.1560.1290.1290.0380.1121.000-0.1730.1200.068-0.077
Vacancies-0.2050.2540.2410.1280.086-0.0100.116-0.078-0.1600.062-0.102-0.1731.0000.0150.0000.022
Work_hours0.074-0.074-0.0810.052-0.0040.084-0.0560.0640.0190.0550.0730.1200.0151.0000.548-0.009
Work_hours_measure0.0880.1160.1160.0510.0510.0590.0590.0260.0260.0200.0990.0680.0000.5481.0000.029
advertisment_validuty_duration-0.1070.1030.062-0.1080.019-0.0680.068-0.010-0.0400.087-0.097-0.0770.022-0.0090.0291.000

Missing values

2024-04-16T19:09:56.124029image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-16T19:09:58.062939image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

TitleDate PostedEmployerLocationSalaryEmployment TypeStart DateVacanciesLanguagesEducationExperienceResponsibilitiesurlWork_hoursWork_hours_measureSalary_measureProvince and TerritoriesDerived_Monthly_Salaryadvertisment_validuty_durationTitle_and_Responsibilities_TextJob_FieldExperience_encodedEducation_EncodedJob_Field_EncodedEmployment_Type_Encodedjob_description_text
1cabinetmaker2024-02-28Sympro Mfg Inc.Mississauga, ON27.00 HOURPermanent Full TimeStarts as soon as possible1.0EnglishSecondary/School Level1 to less than 7 monthsStudy plans, specifications or drawings of articles to be made, Trim joints and fit parts and subassemblies together to form complete unit and reinforce joints, Sand wooden surfaces and apply veneer, stain or polish to finished products; prepare and apply laminated plastics, Apply varnish, veneer, stain or polish to finished products, Maintain clean and safe work environment, Supervise other workers, Estimate costs and materials, Operate woodworking machines and use hand tools to cut, shape and form parts and components, Repair or restyle wooden furniture, fixtures and related productshttps://www.jobbank.gc.ca/jobsearch/jobposting/40386176?source=searchresults35.0hours per weekHOURON4320.059.0cabinetmaker Study plans, specifications or drawings of articles to be made, Trim joints and fit parts and subassemblies together to form complete unit and reinforce joints, Sand wooden surfaces and apply veneer, stain or polish to finished products; prepare and apply laminated plastics, Apply varnish, veneer, stain or polish to finished products, Maintain clean and safe work environment, Supervise other workers, Estimate costs and materials, Operate woodworking machines and use hand tools to cut, shape and form parts and components, Repair or restyle wooden furniture, fixtures and related productsAdministrative Services3.0356cabinetmaker sympro mfg inc mississauga onenglish secondaryschool level administrative service
2restoration carpenter2024-03-18Supra Restoration Services LTDBradford, ON30.00 HOURTerm or contractStarts as soon as possible3.0EnglishSecondary/School Level2 years to less than 3 yearsRead and interpret blueprints, drawings and sketches to determine specifications and calculate requirements, Prepare layouts in conformance to building codes, using measuring tools, Measure, cut, shape, assemble and join materials made of wood, wood substitutes, lightweight steel and other materials, Build foundations, install floor beams, lay subflooring and erect walls and roof systems, Fit and install windows, doors, stairs, mouldings and hardware, Schedule and co-ordinate work on sites, Instruct apprentices, Estimate costs and materials, Maintain, repair and renovate residences and wooden structures in mills, mines, hospitals, industrial plants and other establishmentshttps://www.jobbank.gc.ca/jobsearch/jobposting/40548520?source=searchresults40.0hours per weekHOURON4800.030.0restoration carpenter Read and interpret blueprints, drawings and sketches to determine specifications and calculate requirements, Prepare layouts in conformance to building codes, using measuring tools, Measure, cut, shape, assemble and join materials made of wood, wood substitutes, lightweight steel and other materials, Build foundations, install floor beams, lay subflooring and erect walls and roof systems, Fit and install windows, doors, stairs, mouldings and hardware, Schedule and co-ordinate work on sites, Instruct apprentices, Estimate costs and materials, Maintain, repair and renovate residences and wooden structures in mills, mines, hospitals, industrial plants and other establishmentsHealthcare/Technical Software Solutions6.03114restoration carpenter supra restoration service ltd bradford onenglish secondaryschool level healthcaretechnical software solution
3painter2024-03-12Majestic RenovationsBradford, ON30.00 HOURPermanent Full TimeStarts as soon as possible2.0EnglishDiploma Degree3 years to less than 5 yearsPrepare, clean and sand surfaces to be painted, Repair cracks and holes, Measure, cut and apply wallpaper and other fabric to walls, Erect scaffolding and swing stages and attach rigging, Apply paint, wallpaper and other materials and finishes to interior and exterior surfaceshttps://www.jobbank.gc.ca/jobsearch/jobposting/40492860?source=searchresults38.0hours per weekHOURON4800.030.0painter Prepare, clean and sand surfaces to be painted, Repair cracks and holes, Measure, cut and apply wallpaper and other fabric to walls, Erect scaffolding and swing stages and attach rigging, Apply paint, wallpaper and other materials and finishes to interior and exterior surfacesIndustrial Equipment Services7.0566painter majestic renovation bradford onenglish diploma degree industrial equipment service
5store manager - retail2024-03-11professional book fairsToronto, ON44.00 HOURPermanent Full TimeStarts as soon as possible2.0EnglishDiploma Degree7 months to less than 1 yearManage staff and assign duties, Determine merchandise and services to be sold, Develop and implement marketing strategies, Plan budgets and monitor revenues and expenses, Determine staffing requirements, Resolve issues that may arise, including customer requests, complaints and supply shortages, Plan, organize, direct, control and evaluate daily operations, Recruit, hire and supervise staff and/or volunteers, Oversee payroll administration, Supervise office and volunteer staff, 3-4 peoplehttps://www.jobbank.gc.ca/jobsearch/jobposting/40483792?source=searchresults35.0hours per weekHOURON7040.038.0store manager - retail Manage staff and assign duties, Determine merchandise and services to be sold, Develop and implement marketing strategies, Plan budgets and monitor revenues and expenses, Determine staffing requirements, Resolve issues that may arise, including customer requests, complaints and supply shortages, Plan, organize, direct, control and evaluate daily operations, Recruit, hire and supervise staff and/or volunteers, Oversee payroll administration, Supervise office and volunteer staff, 3-4 peopleAdministrative Services4.0556store manager retail professional book fair toronto onenglish diploma degree administrative service
6administrative assistant2024-03-25URBAN DECOR FURNISHINGSBrampton, ON25.50 HOURPermanent Full TimeStarts as soon as possible1.0EnglishSecondary/School Level7 months to less than 1 yearDetermine and establish office procedures and routines, Schedule and confirm appointments, Answer telephone and relay telephone calls and messages, Answer electronic enquiries, Order office supplies and maintain inventory, Organize staff consultation and grievance procedures, Plan, organize, direct, control and evaluate daily operations, Arrange travel, related itineraries and make reservations, Greet people and direct them to contacts or service areas, Open and distribute regular and electronic incoming mail and other material and co-ordinate the flow of information, Provide customer servicehttps://www.jobbank.gc.ca/jobsearch/jobposting/40613014?source=searchresults30.0hours per weekHOURON4080.030.0administrative assistant Determine and establish office procedures and routines, Schedule and confirm appointments, Answer telephone and relay telephone calls and messages, Answer electronic enquiries, Order office supplies and maintain inventory, Organize staff consultation and grievance procedures, Plan, organize, direct, control and evaluate daily operations, Arrange travel, related itineraries and make reservations, Greet people and direct them to contacts or service areas, Open and distribute regular and electronic incoming mail and other material and co-ordinate the flow of information, Provide customer serviceAdministrative Services4.0356administrative assistant urban decor furnishing brampton onenglish secondaryschool level administrative service
7store manager - retail2024-03-11professional book fairsMilton, ON44.00 HOURPermanent Full TimeStarts as soon as possible2.0EnglishDiploma Degree7 months to less than 1 yearManage staff and assign duties, Determine merchandise and services to be sold, Develop and implement marketing strategies, Plan budgets and monitor revenues and expenses, Determine staffing requirements, Resolve issues that may arise, including customer requests, complaints and supply shortages, Plan, organize, direct, control and evaluate daily operations, Recruit, hire and supervise staff and/or volunteers, Oversee payroll administration, Supervise office and volunteer staff, 3-4 peoplehttps://www.jobbank.gc.ca/jobsearch/jobposting/40483813?source=searchresults35.0hours per weekHOURON7040.038.0store manager - retail Manage staff and assign duties, Determine merchandise and services to be sold, Develop and implement marketing strategies, Plan budgets and monitor revenues and expenses, Determine staffing requirements, Resolve issues that may arise, including customer requests, complaints and supply shortages, Plan, organize, direct, control and evaluate daily operations, Recruit, hire and supervise staff and/or volunteers, Oversee payroll administration, Supervise office and volunteer staff, 3-4 peopleAdministrative Services4.0556store manager retail professional book fair milton onenglish diploma degree administrative service
8line cook2024-03-06Kelseys Grand ParkMississauga, ON17.00 HOURPermanent Full TimeStarts as soon as possible2.0EnglishSecondary/School Level1 year to less than 2 yearsPrepare and cook complete meals or individual dishes and foods, Prepare dishes for customers with food allergies or intolerances, Prepare and cook special meals for patients as instructed by dietitian or chef, Plan menus, determine size of food portions, estimate food requirements and costs, and monitor and order supplies, Inspect kitchens and food service areas, Train staff in preparation, cooking and handling of food, Order supplies and equipment, Maintain inventory and records of food, supplies and equipment, Clean kitchen and work areas, Recruit and hire staff, Organize buffets and banquetshttps://www.jobbank.gc.ca/jobsearch/jobposting/40437740?source=searchresults40.0hours per weekHOURON2720.040.0line cook Prepare and cook complete meals or individual dishes and foods, Prepare dishes for customers with food allergies or intolerances, Prepare and cook special meals for patients as instructed by dietitian or chef, Plan menus, determine size of food portions, estimate food requirements and costs, and monitor and order supplies, Inspect kitchens and food service areas, Train staff in preparation, cooking and handling of food, Order supplies and equipment, Maintain inventory and records of food, supplies and equipment, Clean kitchen and work areas, Recruit and hire staff, Organize buffets and banquetsCulinary Services5.0316line cook kelseys grand park mississauga onenglish secondaryschool level culinary service
9cook, ethnic foods2024-03-17Mr. ShawarmaOttawa, ON18.00 HOURPermanent Full TimeStarts as soon as possible1.0EnglishDiploma Degree1 year to less than 2 yearsPrepare and cook complete meals or individual dishes and foods, Train staff in preparation, cooking and handling of food, Clean kitchen and work areas, Ensure that food and service meet quality control standards, Prepare and cook meals or specialty foodshttps://www.jobbank.gc.ca/jobsearch/jobposting/40541336?source=searchresults40.0hours per weekHOURON2880.030.0cook, ethnic foods Prepare and cook complete meals or individual dishes and foods, Train staff in preparation, cooking and handling of food, Clean kitchen and work areas, Ensure that food and service meet quality control standards, Prepare and cook meals or specialty foodsCulinary Services5.0516cook ethnic food mr shawarma ottawa onenglish diploma degree culinary service
10retail sales associate2024-03-151000642698 Ontario Inc.Elliot Lake, ON17.50 HOURPermanent Full TimeStarts as soon as possible1.0EnglishSecondary/School Level1 to less than 7 monthsOperate cash register, Perform data entry, Provide customer service, Assist in display of merchandise, Greet customers and discuss type, quality and quantity of merchandise or services sought for purchase, rental or lease, Prepare merchandise for purchase, rental or lease, Prepare sales, rental or leasing contracts and accept cash, cheque, credit card or automatic debit paymenthttps://www.jobbank.gc.ca/jobsearch/jobposting/40525006?source=searchresults32.5hours per weekHOURON2800.030.0retail sales associate Operate cash register, Perform data entry, Provide customer service, Assist in display of merchandise, Greet customers and discuss type, quality and quantity of merchandise or services sought for purchase, rental or lease, Prepare merchandise for purchase, rental or lease, Prepare sales, rental or leasing contracts and accept cash, cheque, credit card or automatic debit paymentAdministrative Services3.0356retail sale associate ontario inc elliot lake onenglish secondaryschool level administrative service
11hotel managing supervisor2024-03-18DAYS INN BRAMPTONBrampton, ON22.00 HOURPermanent Full TimeStarts as soon as possible1.0EnglishSecondary/School Level1 year to less than 2 yearsPerform same duties as workers supervised, Co-ordinate, assign and review work, Maintain operation of computer systems, equipment, machinery and arrange repair work to ensure business continuity and customer service delivery, Establish work schedules and procedures and co-ordinate activities with other work units or departments, Hire and train staff in job duties, safety procedures and company policies, Resolve work-related problems and prepare and submit progress and other reportshttps://www.jobbank.gc.ca/jobsearch/jobposting/40546989?source=searchresults37.5hours per weekHOURON3520.030.0hotel managing supervisor Perform same duties as workers supervised, Co-ordinate, assign and review work, Maintain operation of computer systems, equipment, machinery and arrange repair work to ensure business continuity and customer service delivery, Establish work schedules and procedures and co-ordinate activities with other work units or departments, Hire and train staff in job duties, safety procedures and company policies, Resolve work-related problems and prepare and submit progress and other reportsHealthcare/Technical Software Solutions5.03116hotel managing supervisor day inn brampton brampton onenglish secondaryschool level healthcaretechnical software solution
TitleDate PostedEmployerLocationSalaryEmployment TypeStart DateVacanciesLanguagesEducationExperienceResponsibilitiesurlWork_hoursWork_hours_measureSalary_measureProvince and TerritoriesDerived_Monthly_Salaryadvertisment_validuty_durationTitle_and_Responsibilities_TextJob_FieldExperience_encodedEducation_EncodedJob_Field_EncodedEmployment_Type_Encodedjob_description_text
71418legal assistant2024-03-12De Novo LawLloydminster, SK22.00 HOURPermanent Full TimeStarts as soon as possible1.0EnglishBasic level of literacyNo experiencehttps://www.jobbank.gc.ca/jobsearch/jobposting/40495791?source=searchresults39.764524hours per weekHOURSK3520.035.334534legal assistantAdministrative Services0.0156legal assistant de novo law lloydminster skenglish basic level literacy administrative service
71420housekeeper2024-03-21Duncan JessimanWinnipeg, MB17.50 HOURPermanent Full TimeStarts as soon as possible1.0EnglishDiploma DegreeExperience an assetSweep, mop, wash and polish floors, Dust furniture, Vacuum carpeting, area rugs, draperies and upholstered furniture, Make beds and change sheets, Stock linen closet, Disinfect operating rooms and other areas, Launder clothing and household linens, Perform light housekeeping and cleaning duties, Wash windows, walls and ceilingshttps://www.jobbank.gc.ca/jobsearch/jobposting/40578844?source=searchresults40.000000hours per weekHOURMB2800.030.000000housekeeper Sweep, mop, wash and polish floors, Dust furniture, Vacuum carpeting, area rugs, draperies and upholstered furniture, Make beds and change sheets, Stock linen closet, Disinfect operating rooms and other areas, Launder clothing and household linens, Perform light housekeeping and cleaning duties, Wash windows, walls and ceilingsHospitality and Cleaning Services2.0526housekeeper duncan jessiman winnipeg mbenglish diploma degree hospitality cleaning service
71421cashier2024-01-28Africa Food General Inc.Winnipeg, MB25.00 HOURPermanent Full TimeStarts as soon as possible4.0EnglishSecondary/School LevelWill trainOperate cash register, Scan items, Receive payment for goods or services, Stock shelves and clean counter area, Greet customers, Provide customer servicehttps://www.jobbank.gc.ca/jobsearch/jobposting/40140369?source=searchresults35.000000hours per weekHOURMB4000.064.000000cashier Operate cash register, Scan items, Receive payment for goods or services, Stock shelves and clean counter area, Greet customers, Provide customer serviceAdministrative Services1.0356cashier africa food general inc winnipeg mbenglish secondaryschool level administrative service
71422personal support worker - home support2024-03-06North Minto ResidenceMinto, NB18.00 HOURPermanent Full TimeStarts as soon as possible6.0EnglishSecondary/School Level1 to less than 7 monthsAdminister bedside and personal care, Administer medications, Assist clients with bathing and other aspects of personal hygiene, Assist in regular exercise, e.g., walk, Change non-sterile dressings, Collect specimens, Feed or assist in feeding, Launder clothing and household linens, Perform light housekeeping and cleaning duties, Provide personal care, Prepare and serve nutritious mealshttps://www.jobbank.gc.ca/jobsearch/jobposting/40436536?source=searchresults49.500000hours per weekHOURNB2880.053.000000personal support worker - home support Administer bedside and personal care, Administer medications, Assist clients with bathing and other aspects of personal hygiene, Assist in regular exercise, e.g., walk, Change non-sterile dressings, Collect specimens, Feed or assist in feeding, Launder clothing and household linens, Perform light housekeeping and cleaning duties, Provide personal care, Prepare and serve nutritious mealsHealthcare/Technical Software Solutions3.03116personal support worker home support north minto residence minto nbenglish secondaryschool level healthcaretechnical software solution
71424food service supervisor2024-03-13MOOSE PIZZA INC.Whitehorse, YT17.82 HOURPermanent Full TimeStarts as soon as possible1.0EnglishDiploma Degree1 year to less than 2 yearsSupervise and co-ordinate activities of staff who prepare and portion food, Estimate ingredient and supplies required for meal preparation, Ensure that food and service meet quality control standards, Prepare and submit reports, Prepare food order summaries for chef, Supervise and check assembly of trays, Establish work schedules, 1 to 2 people, 3-4 people, 5-10 people, Cook (general), Food service counter attendants and food preparers, Kitchen and food service helpershttps://www.jobbank.gc.ca/jobsearch/jobposting/40508496?source=searchresults35.000000hours per weekHOURYT2851.230.000000food service supervisor Supervise and co-ordinate activities of staff who prepare and portion food, Estimate ingredient and supplies required for meal preparation, Ensure that food and service meet quality control standards, Prepare and submit reports, Prepare food order summaries for chef, Supervise and check assembly of trays, Establish work schedules, 1 to 2 people, 3-4 people, 5-10 people, Cook (general), Food service counter attendants and food preparers, Kitchen and food service helpersCulinary Services5.0516food service supervisor moose pizza inc whitehorse ytenglish diploma degree culinary service
71425server - food and beverage services2024-02-24Thai Ivory CuisineBedford, NS15.00 HOURPermanent Full TimeStarts as soon as possible2.0EnglishSecondary/School Level1 year to less than 2 yearsMust be of legal age to mix and serve alcoholic beverages, Address customers' complaints or concerns, Prepare and serve specialty food at customers' tables, Present bills to customers and accept payment in cash, credit or debit cards, travellers cheques or room billings, Describe menu items including daily specials for customers, Enforce provincial/territorial liquor legislation and regulations, Advise on menu selections, Balance cash and record sales, Clear and clean tables, trays and chairs, Describe and advise on wine selection, Greet patrons, present menus, make recommendations and answer questions regarding food and beverages, Order and maintain inventory of wines and wine glassware, Perform sensory evaluation of wines, Serve food and beverages, Supervise other servers and bussing staff, Take orders and relay to kitchen and bar staff, Schedule staff, Train staff, Assist clients/guests with special needs, Provide customer service, 3-4 peoplehttps://www.jobbank.gc.ca/jobsearch/jobposting/40360087?source=searchresults40.000000hours per weekHOURNS2400.057.000000server - food and beverage services Must be of legal age to mix and serve alcoholic beverages, Address customers' complaints or concerns, Prepare and serve specialty food at customers' tables, Present bills to customers and accept payment in cash, credit or debit cards, travellers cheques or room billings, Describe menu items including daily specials for customers, Enforce provincial/territorial liquor legislation and regulations, Advise on menu selections, Balance cash and record sales, Clear and clean tables, trays and chairs, Describe and advise on wine selection, Greet patrons, present menus, make recommendations and answer questions regarding food and beverages, Order and maintain inventory of wines and wine glassware, Perform sensory evaluation of wines, Serve food and beverages, Supervise other servers and bussing staff, Take orders and relay to kitchen and bar staff, Schedule staff, Train staff, Assist clients/guests with special needs, Provide customer service, 3-4 peopleHealthcare/Technical Software Solutions5.03116server food beverage service thai ivory cuisine bedford nsenglish secondaryschool level healthcaretechnical software solution
71426diesel mechanic2024-03-19Sullivan Sales & Service IncGrand Manan, NB25.00 HOURPermanent Full TimeStarts as soon as possible2.0EnglishDiploma Degree1 year to less than 2 yearsTroubleshoot and inspect equipment to detect faults and malfunctions, Adjust equipment and repair or replace defective parts, Keep maintenance reports and documentation, Welding experience, Clean, lubricate and perform other maintenance work, Perform other routine maintenancehttps://www.jobbank.gc.ca/jobsearch/jobposting/40559425?source=searchresults47.500000hours per weekHOURNB4000.014.000000diesel mechanic Troubleshoot and inspect equipment to detect faults and malfunctions, Adjust equipment and repair or replace defective parts, Keep maintenance reports and documentation, Welding experience, Clean, lubricate and perform other maintenance work, Perform other routine maintenanceIndustrial Equipment Services5.0566diesel mechanic sullivan sale service inc grand manan nbenglish diploma degree industrial equipment service
71427Web designer2024-02-13KAYA TECHNOLOGIES LTD.Regina, SK23.00 HOURPermanent Full TimeStarts as soon as possible1.0EnglishBachelor Degree1 year to less than 2 yearsConsult with clients to develop and document Website requirements, Prepare mock-ups and storyboards, Develop Website architecture and determine hardware and software requirements, Source, select and organize information for inclusion and design the appearance, layout and flow of the Website, Create and optimize content for Website using a variety of graphics, database, animation and other software, Conduct tests and perform security and quality controls, Plan, design, write, modify, integrate and test Web-site related code, Estimate time to complete graphic designs and illustrations, Consult with clients to establish the overall look, graphic elements and content of communications materials, Develop the graphic elements that meet the clients' objectives, Prepare sketches, layouts and graphic elements, Use existing photo and illustration banks and typography guides, Co-ordinate sub-contracting, Develop and produce realistic or representational sketches and final illustrationshttps://www.jobbank.gc.ca/jobsearch/jobposting/40273942?source=searchresults35.000000hours per weekHOURSK3680.055.000000Web designer Consult with clients to develop and document Website requirements, Prepare mock-ups and storyboards, Develop Website architecture and determine hardware and software requirements, Source, select and organize information for inclusion and design the appearance, layout and flow of the Website, Create and optimize content for Website using a variety of graphics, database, animation and other software, Conduct tests and perform security and quality controls, Plan, design, write, modify, integrate and test Web-site related code, Estimate time to complete graphic designs and illustrations, Consult with clients to establish the overall look, graphic elements and content of communications materials, Develop the graphic elements that meet the clients' objectives, Prepare sketches, layouts and graphic elements, Use existing photo and illustration banks and typography guides, Co-ordinate sub-contracting, Develop and produce realistic or representational sketches and final illustrationsHealthcare/Technical Software Solutions5.06116web designer kaya technology ltd regina skenglish bachelor degree healthcaretechnical software solution
71428personal support worker - home support2024-02-19Co-Care Health Group IncSteinbach, MB18.00 HOURPermanent Full TimeStarts as soon as possible1.0EnglishSecondary/School Level1 year to less than 2 yearsAdminister bedside and personal care, Administer medications, Assist clients with bathing and other aspects of personal hygiene, Assist in regular exercise, e.g., walk, Assume full responsibility for household (in absence of householder), Change non-sterile dressings, Feed or assist in feeding, Launder clothing and household linens, Mend clothing and linens, Perform light housekeeping and cleaning duties, Provide companionship, Provide personal care, Shop for food and household supplies, Prepare and serve nutritious mealshttps://www.jobbank.gc.ca/jobsearch/jobposting/40322706?source=searchresults40.000000hours per weekHOURMB2880.054.000000personal support worker - home support Administer bedside and personal care, Administer medications, Assist clients with bathing and other aspects of personal hygiene, Assist in regular exercise, e.g., walk, Assume full responsibility for household (in absence of householder), Change non-sterile dressings, Feed or assist in feeding, Launder clothing and household linens, Mend clothing and linens, Perform light housekeeping and cleaning duties, Provide companionship, Provide personal care, Shop for food and household supplies, Prepare and serve nutritious mealsHealthcare/Technical Software Solutions5.03116personal support worker home support cocare health group inc steinbach mbenglish secondaryschool level healthcaretechnical software solution
71429cook2024-02-28Kaapitaarvik Inc.Iqaluit, NU24.00 HOURPermanent Full TimeStarts as soon as possible2.0EnglishSecondary/School Level3 years to less than 5 yearsPrepare and cook complete meals or individual dishes and foods, Prepare dishes for customers with food allergies or intolerances, Inspect kitchens and food service areas, Train staff in preparation, cooking and handling of food, Maintain inventory and records of food, supplies and equipment, Clean kitchen and work areas, Manage kitchen operationshttps://www.jobbank.gc.ca/jobsearch/jobposting/40384090?source=searchresults40.000000hours per weekHOURNU3840.060.000000cook Prepare and cook complete meals or individual dishes and foods, Prepare dishes for customers with food allergies or intolerances, Inspect kitchens and food service areas, Train staff in preparation, cooking and handling of food, Maintain inventory and records of food, supplies and equipment, Clean kitchen and work areas, Manage kitchen operationsCulinary Services7.0316cook kaapitaarvik inc iqaluit nuenglish secondaryschool level culinary service

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0Become a Correctional Officer I: Opportunities for Persons with Disabilities2024-03-27Correctional Service CanadaDrumheller, , AB66,974 YEARPermanent Full TimeStarts as soon as possible1.0EnglishBasic level of literacyNo experiencehttps://www.jobbank.gc.ca/jobsearch/jobposting/40634101?source=searchresults39.764524hours per weekYEARAB5581.16666721.0Become a Correctional Officer I: Opportunities for Persons with DisabilitiesChildcare and Administrative Services0.0186become correctional officer opportunity person disability correctional service canada drumheller abenglish basic level literacy childcare administrative service2
1Electrical Engineer2024-03-25National Defence - Assistant Deputy Minister (Infrastructure and Environment)Edmonton, , AB104,135 YEARPermanent Full TimeStarts as soon as possible1.0EnglishBasic level of literacyNo experiencehttps://www.jobbank.gc.ca/jobsearch/jobposting/40614709?source=searchresults39.764524hours per weekYEARAB8677.91666722.0Electrical EngineerHealthcare/Technical Software Solutions0.01116electrical engineer national defence assistant deputy minister infrastructure environment edmonton abenglish basic level literacy healthcaretechnical software solution2
2Real Property Coordinator / Real Property Officer2024-03-22National Defence - Real Property OperationsCalgary, , AB72,171 YEARPermanent Full TimeStarts as soon as possible1.0EnglishBasic level of literacyNo experiencehttps://www.jobbank.gc.ca/jobsearch/jobposting/40589620?source=searchresults39.764524hours per weekYEARAB6014.25000017.0Real Property Coordinator / Real Property OfficerLogistics and Transportation0.0196real property coordinator real property officer national defence real property operation calgary abenglish basic level literacy logistics transportation2
3Registry Officer (Inventory)2024-03-28Courts Administration ServiceCalgary, , AB72,171 YEARPermanent Full TimeStarts as soon as possible1.0EnglishBasic level of literacyNo experiencehttps://www.jobbank.gc.ca/jobsearch/jobposting/40646845?source=searchresults39.764524hours per weekYEARAB6014.250000185.0Registry Officer (Inventory)Logistics and Transportation0.0196registry officer inventory court administration service calgary abenglish basic level literacy logistics transportation2
4Senior Engineer, EN-ENG-04 / Physical Science Planning Officer, PC-032024-03-18Environment and Climate Change Canada - Environmental Protection BranchCalgary, , AB97,479 YEARPermanent Full TimeStarts as soon as possible1.0EnglishBasic level of literacyNo experiencehttps://www.jobbank.gc.ca/jobsearch/jobposting/40615440?source=searchresults39.764524hours per weekYEARAB8123.25000015.0Senior Engineer, EN-ENG-04 / Physical Science Planning Officer, PC-03Healthcare/Technical Software Solutions0.01116senior engineer eneng physical science planning officer pc environment climate change canada environmental protection branch calgary abenglish basic level literacy healthcaretechnical software solution2
5Stream 1: Administrative Assistant/Officer, Stream 2: Executive Assistant.2024-03-27Environment and Climate Change Canada - Canada Water AgencyEdmonton, , AB60,424 YEARPermanent Full TimeStarts as soon as possible1.0EnglishBasic level of literacyNo experiencehttps://www.jobbank.gc.ca/jobsearch/jobposting/40638553?source=searchresults39.764524hours per weekYEARAB5035.3333337.0Stream 1: Administrative Assistant/Officer, Stream 2: Executive Assistant.Industrial Equipment Services0.0166stream administrative assistantofficer stream executive assistant environment climate change canada canada water agency edmonton abenglish basic level literacy industrial equipment service2
6health policy research analyst2024-02-27Amaris Conseil Inc250 Yonge St.Toronto, , ONM5C 1T470,000 YEARPermanent Full TimeStarts as soon as possible1.0EnglishMaster Degree5 years or morePerform administrative tasks, Compile and analyze statistical information provided by private and public health care institutions and organizations, Produce reports, Present the views of an association or organization to members, the media and the general public, Organize conferences and meetings, Prepare research papers, educational texts or articles, Provide consulting services to government and other organizations, Conduct literature reviews, Interpret trends and developments on health issues, Conduct evaluations and assessments of health projects and programs, Deliver presentations at conferences, workshops or symposia, Monitor and compile research results, Offer mentoringhttps://www.jobbank.gc.ca/jobsearch/jobposting/40379009?source=searchresults40.000000hours per weekYEARON5833.33333357.0health policy research analyst Perform administrative tasks, Compile and analyze statistical information provided by private and public health care institutions and organizations, Produce reports, Present the views of an association or organization to members, the media and the general public, Organize conferences and meetings, Prepare research papers, educational texts or articles, Provide consulting services to government and other organizations, Conduct literature reviews, Interpret trends and developments on health issues, Conduct evaluations and assessments of health projects and programs, Deliver presentations at conferences, workshops or symposia, Monitor and compile research results, Offer mentoringHealthcare/Technical Software Solutions8.07116health policy research analyst amaris conseil inc yonge sttoronto onmc tenglish master degree healthcaretechnical software solution2
7software developer2024-03-04Laboratoires Acumatica CanadaMontréal, , QC107,000 YEARPermanent Full TimeStarts as soon as possible1.0EnglishBachelor Degree5 years or moreWrite, modify, integrate and test software code, Write, modify, integrate and test software code for e-commerce and other Internet applicationshttps://www.jobbank.gc.ca/jobsearch/jobposting/40418548?source=searchresults40.000000hours per weekYEARQC8916.66666739.0software developer Write, modify, integrate and test software code, Write, modify, integrate and test software code for e-commerce and other Internet applicationsHealthcare/Technical Software Solutions8.06116software developer laboratoires acumatica canada montral qcenglish bachelor degree healthcaretechnical software solution2